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FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. 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FEQ327R25 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. 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Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. 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South EMEA Paris, France SLSQ227R827 Sales Director, Lakebase Sales Specialists - South EMEA We are looking for a highly strategic and execution-oriented Sales Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "director_plus", "seniority_source": null, "years_experience_min": 8, "years_experience_max": 12, "role_function": "sales", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - 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At Databricks, we do this every day. Reporting to the Senior Manager for Digital Native Business (DNB), as an Emerging Enterprise Account Executive at Databricks, you come with relevant experience selling to Commercial/Mid-Market accounts. As a successful candidate, you are a self-starter who understands the sales process. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to close new business and grow existing accounts in ASEAN market. The impact you will have: - Assess your accounts and develop a strategy to identify and engage all buying centers - Use a solution-based approach to selling and creating value for new logo accounts - Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle - Identify and close quick wins while managing longer, complex sales cycles - Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce - Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact - Orchestrate and work with teams to maximise the impact on your ecosystem - Build", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "senior", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 9, "role_function": "sales", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "non_birth_parent_leave_weeks": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "275c4d7d20a7a3c69eca529fd786e95e", "title": "Strategic Hunter Account Executive", "employer_name": "Databricks", "employer_slug": "databricks", "location_text": "China; Singapore", "country": "unknown", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z" ], "posted_at": "2026-06-11T07:07:24.000Z", "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8585188002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Strategic Hunter Account Executive China; Singapore SLSQ327R457 As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China. The impact you will have: - Prospect for new customers - Assess your existing customers and develop a strategy to identify and engage all buying centers - Use a solution approach to selling and creating value for customers - Identify the most viable use cases in each account to maximize Databricks' impact - Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory - Build value with all engagements to promote successful negotiations and close - Promote the Databricks enterprise cloud data platform - Be customer-focused by delivering technical and business results using the Databricks Platform What we look for: - Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology - Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) - Ability to simply articulate intricate cloud & big data technologies and their business value for the customer - Proven success and upward", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "senior", "seniority_source": null, "years_experience_min": 7, "years_experience_max": 11, "role_function": "sales", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "non_birth_parent_leave_weeks": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "cb14e3b0189814e6431fd86779e21a9a", "title": "Sr. Recruiter, GTM – Field Engineering", "employer_name": "Databricks", "employer_slug": "databricks", "location_text": "Bengaluru, India", "country": "IN", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cnbc_disruptor50", "cbinsights_unicorn", "a16z" ], "posted_at": "2026-06-10T23:16:00.000Z", "apply_url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8587088002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sr. Recruiter, GTM – Field Engineering Bengaluru, India Mission We're looking for a Senior Recruiter to be the driving force behind hiring the technical talent that powers our go-to-market engine across India - Solutions Architects, Forward Deployed Engineers, and the broader Field Engineering org. These are the people who sit shoulder-to-shoulder with our customers, turn the world's hardest data and AI problems into production reality, and make Databricks impossible to compete against. Your job is to find them, win them, and close them. This is an exciting time to be part of the rocketship and the Databricks expansion in India. We're scaling fast, the bar is high, and the demand for elite technical pre-sales and field talent has never been more intense. You'll own full-cycle hiring for some of the most sought-after profiles in the market, partnering directly with Field Engineering leadership to build teams that don't yet exist. Recruiters at Databricks are subject matter experts when it comes to talent attraction and are given full autonomy to bring new ideas and creative approaches to life. If you thrive in ambiguity, move fast, and get energy from building in a high-growth, high-pressure environment, read on. The impact you will have - Own full-cycle recruiting for technical GTM roles across India - Solutions Architects, Forward Deployed Engineers, and Field Engineering leadership - from first outreach to close. - Partner with Field Engineering and Sales leaders as a true strategic advisor on sourcing strategy, market mapping, competitive intelligence, comp positioning, and talent", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": 12, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "hr", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Technology", "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "non_birth_parent_leave_weeks": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "b0d704fdb05673d7619b7fd63849a67c", "title": "Sr. Staff Security Assurance Engineer", "employer_name": "Databricks", "employer_slug": "databricks", "location_text": "Mountain View, California; 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San Francisco, California RDQ326R106 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Senior Staff Security Assurance Engineer within the Security Assurance Team, you will lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks' global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard of our customers. US Citizenship Required. 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You will lead an agile team of Directors and their Enterprise Account Executives, measured by achieving overall team quota, new logo acquisition, and expanding Databricks adoption across the most strategic retail customers in North America. This team is passionate about building a modern data and AI ecosystem across the industry and helping customers and partners succeed. You will report to the Vice President of Retail in North America. What you will do: - Build and lead a team of talented Directors and Enterprise Account Executives to drive growth across strategic and emerging markets within the Retail industry. - Inspire a culture of teamwork, customer value, and measurable business outcomes. - Develop trusted relationships with customers and partners to support long-term growth and success across North America. - Foster continuous learning and a strong understanding of Databricks' technical capabilities and future product roadmap. - Lead North American Enterprise growth planning while ensuring forecast accuracy and a predictable, high-growth business. - Scale and accelerate sales through data consumption models and AI-driven business transformation initiatives. - Help customers drive innovation, operational efficiency, and revenue growth by leveraging the Databricks Data Intelligence Platform. 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Databricks is the data and AI company, and more than 10,000 organizations worldwide - including over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. We are looking for a Sales Director for one of our UK&I Digital Native teams, where you will be leading and developing a high-performing team of experienced Account Executives. You will play a critical role in coaching talent, building a strong team culture, and driving growth across some of the most innovative and strategically important Digital Native customers in the UK and Ireland. This is a first-line leadership role for someone who knows how to elevate sellers, create clarity in a fast-moving business, and help teams win with technical, demanding, high-growth customers. In UKI Digital Natives, Databricks partners with technical founders, CTOs, and engineering-led organizations that move quickly and expect strategic, high-value engagement. 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Manager, Delivery Solutions Architects - Toronto, ON at Databricks - Toronto, Canada - Manager, Delivery Solutions Architects - Toronto, ON Toronto, Canada REQ ID - CSQ427R107 Location: Toronto, ON Build and lead a team of Delivery Solution Architects. DSA's lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem. As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada. You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers. You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster. You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers. The Impact You Will Have - Manage

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Sr. Solutions Architect - Manufacturing at Databricks - Central - United States - Sr. Solutions Architect - Manufacturing Central - United States REQ ID - FEQ327R277 Location: Wisconsin, Minnesota Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals. Outcomes - You work with multiple clients as the main technical voice for Databricks. - You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy - You implement the technical strategy in the account, in close understanding of the strategy. - You build a movement of technical champions within the account. - You align technical strategies around Databricks solutions. - You provide structured mentorship for other team members. - Gain the respect of your peers based on your experience, insight, and contributions. Competencies: - Proficiency at establishing virtual teams, and leading them to

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Sr Technical Solutions Engineering at Databricks - McLean, Virginia - Sr Technical Solutions Engineering McLean, Virginia About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Sr Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations. This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within

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Staff Technical Solution Engineering at Databricks - McLean, Virginia - Staff Technical Solution Engineering McLean, Virginia About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Staff Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations. This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within

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Sr. Solutions Engineer - Public Sector (Defense Industrial Base) at Databricks - McLean, Virginia; Washington, D.C. - Sr. Solutions Engineer - Public Sector (Defense Industrial Base) McLean, Virginia; Washington, D.C. FEQ427R313 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: - Partner with the sales team to help customers understand how Databricks can help solve their business problems - Provide technical leadership for customers to evaluate and adopt Databricks - Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications - Build and present references architectures, how-tos, and demo applications for customers - Become an expert in, and promote Databricks inspired

", "datePosted": "2026-06-11T23:17:54.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "26f11575adf5c1eebbf6629527c304e5" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "McLean" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 152300, "maxValue": 209450, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-engineer-public-sector-defense-industrial-base-26f11575" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-engineer-public-sector-federal-civilian-051905d6", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Solutions Engineer - Public Sector (Federal Civilian)", "description": "

Sr. Solutions Engineer - Public Sector (Federal Civilian) at Databricks - Maryland; Virginia; Washington, D.C. - Sr. Solutions Engineer - Public Sector (Federal Civilian) Maryland; Virginia; Washington, D.C. FEQ327R25 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: - Partner with the sales team to help customers understand how Databricks can help solve their business problems - Provide technical leadership for customers to evaluate and adopt Databricks - Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications - Build and present references architectures, how-tos, and demo applications for customers - Become an expert in, and promote Databricks inspired open-source

", "datePosted": "2026-06-11T23:17:08.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "051905d677841d048eddda72f0d4c00c" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Maryland; Virginia; Washington" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 152300, "maxValue": 209450, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-engineer-public-sector-federal-civilian-051905d6" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/databricks/staff-product-designer-ai-products-1a8355ab", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Product Designer, AI Products", "description": "

Staff Product Designer, AI Products at Databricks - New York City, New York - Staff Product Designer, AI Products New York City, New York RDQ327R178 At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you will have - Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale. - Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action. - Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform. - Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations. - Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape. - Conduct user research to identify customer needs, pain points, and opportunities related to

", "datePosted": "2026-06-11T18:23:18.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "1a8355ab04d532e502abab08f13b1db4" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 166600, "maxValue": 229150, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/databricks/staff-product-designer-ai-products-1a8355ab" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/databricks/staff-software-engineer-ai-native-web-platform-d969654c", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Software Engineer, AI Native Web Platform", "description": "

Staff Software Engineer, AI Native Web Platform at Databricks - Mountain View, California - Staff Software Engineer, AI Native Web Platform Mountain View, California Staff Software Engineer, AI-Native Web Platform GAQ327R228 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. The impact you'll have : - Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. - Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. - Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. - Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. -

", "datePosted": "2026-06-11T16:06:33.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "d969654cfa8ab78b1800a5caacf42e59" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Mountain View" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 198200, "maxValue": 272600, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 144 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/staff-software-engineer-ai-native-web-platform-d969654c" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/databricks/solutions-architect-lakebase-39c02cdd", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Solutions Architect (Lakebase)", "description": "

Solutions Architect (Lakebase) at Databricks - Melbourne, Australia; Sydney, Australia - Solutions Architect (Lakebase) Melbourne, Australia; Sydney, Australia FEQ327R242 Mission The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and

", "datePosted": "2026-06-11T09:26:42.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "39c02cddf5894fe6b0ce05dadb8dd110" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "AU", "addressLocality": "Melbourne" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/solutions-architect-lakebase-39c02cdd" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-architect-lakebase-0e5d9e45", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Solutions Architect (Lakebase)", "description": "

Sr. Solutions Architect (Lakebase) at Databricks - Tokyo, Japan - Sr. Solutions Architect (Lakebase) Tokyo, Japan FEQ327R246 Mission The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and prioritize

", "datePosted": "2026-06-11T09:26:37.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "0e5d9e4537bc999fade135fe9cd30f69" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "JP", "addressLocality": "Tokyo" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-architect-lakebase-0e5d9e45" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/databricks/sales-director-lakebase-sales-specialist-south-emea-e1400853", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sales Director, Lakebase Sales Specialist - South EMEA", "description": "

Sales Director, Lakebase Sales Specialist - South EMEA at Databricks - Paris, France - Sales Director, Lakebase Sales Specialist - South EMEA Paris, France SLSQ227R827 Sales Director, Lakebase Sales Specialists - South EMEA We are looking for a highly strategic and execution-oriented Sales Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable

", "datePosted": "2026-06-11T08:51:18.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "e1400853b559bc0ac480c15d0948636e" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "FR", "addressLocality": "Paris" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sales-director-lakebase-sales-specialist-south-emea-e1400853" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/databricks/emerging-enterprise-core-account-executive-19e94e42", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Emerging Enterprise Core Account Executive", "description": "

Emerging Enterprise Core Account Executive at Databricks - United States - Emerging Enterprise Core Account Executive United States SLSQ127R133 Do you want to help solve the world's toughest problems with data and AI? At Databricks, we do this every day. Reporting to the Senior Manager for Digital Native Business (DNB), as an Emerging Enterprise Account Executive at Databricks, you come with relevant experience selling to Commercial/Mid-Market accounts. As a successful candidate, you are a self-starter who understands the sales process. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to close new business and grow existing accounts in ASEAN market. The impact you will have: - Assess your accounts and develop a strategy to identify and engage all buying centers - Use a solution-based approach to selling and creating value for new logo accounts - Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle - Identify and close quick wins while managing longer, complex sales cycles - Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce - Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact - Orchestrate and work with teams to maximise the impact on your ecosystem - Build

", "datePosted": "2026-06-11T07:25:30.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "19e94e42dbbd7e1356622e8c0b0f484b" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/databricks/emerging-enterprise-core-account-executive-19e94e42" } }, { "@type": "ListItem", "position": 13, "url": "https://fewerjobs.com/jobs/databricks/strategic-hunter-account-executive-275c4d7d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Strategic Hunter Account Executive", "description": "

Strategic Hunter Account Executive at Databricks - China; Singapore - Strategic Hunter Account Executive China; Singapore SLSQ327R457 As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China. The impact you will have: - Prospect for new customers - Assess your existing customers and develop a strategy to identify and engage all buying centers - Use a solution approach to selling and creating value for customers - Identify the most viable use cases in each account to maximize Databricks' impact - Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory - Build value with all engagements to promote successful negotiations and close - Promote the Databricks enterprise cloud data platform - Be customer-focused by delivering technical and business results using the Databricks Platform What we look for: - Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology - Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) - Ability to simply articulate intricate cloud & big data technologies and their business value for the customer - Proven success and upward

", "datePosted": "2026-06-11T07:07:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "275c4d7d20a7a3c69eca529fd786e95e" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "unknown" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 84 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/databricks/strategic-hunter-account-executive-275c4d7d" } }, { "@type": "ListItem", "position": 14, "url": "https://fewerjobs.com/jobs/databricks/sr-recruiter-gtm-field-engineering-cb14e3b0", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Recruiter, GTM – Field Engineering", "description": "

Sr. Recruiter, GTM – Field Engineering at Databricks - Bengaluru, India - Sr. Recruiter, GTM – Field Engineering Bengaluru, India Mission We're looking for a Senior Recruiter to be the driving force behind hiring the technical talent that powers our go-to-market engine across India - Solutions Architects, Forward Deployed Engineers, and the broader Field Engineering org. These are the people who sit shoulder-to-shoulder with our customers, turn the world's hardest data and AI problems into production reality, and make Databricks impossible to compete against. Your job is to find them, win them, and close them. This is an exciting time to be part of the rocketship and the Databricks expansion in India. We're scaling fast, the bar is high, and the demand for elite technical pre-sales and field talent has never been more intense. You'll own full-cycle hiring for some of the most sought-after profiles in the market, partnering directly with Field Engineering leadership to build teams that don't yet exist. Recruiters at Databricks are subject matter experts when it comes to talent attraction and are given full autonomy to bring new ideas and creative approaches to life. If you thrive in ambiguity, move fast, and get energy from building in a high-growth, high-pressure environment, read on. The impact you will have - Own full-cycle recruiting for technical GTM roles across India - Solutions Architects, Forward Deployed Engineers, and Field Engineering leadership - from first outreach to close. - Partner with Field Engineering and Sales leaders as a true strategic advisor on sourcing strategy, market mapping, competitive intelligence, comp positioning, and talent

", "datePosted": "2026-06-10T23:16:00.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "cb14e3b0189814e6431fd86779e21a9a" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "IN", "addressLocality": "Bengaluru" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sr-recruiter-gtm-field-engineering-cb14e3b0" } }, { "@type": "ListItem", "position": 15, "url": "https://fewerjobs.com/jobs/databricks/sr-staff-security-assurance-engineer-b0d704fd", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Staff Security Assurance Engineer", "description": "

Sr. Staff Security Assurance Engineer at Databricks - Mountain View, California; San Francisco, California - Sr. Staff Security Assurance Engineer Mountain View, California; San Francisco, California RDQ326R106 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Senior Staff Security Assurance Engineer within the Security Assurance Team, you will lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks' global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard of our customers. US Citizenship Required. The impact you will have: - Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, expanding Databricks' reach across global markets. - Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment. - Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, and Product teams to reach timely resolutions. - Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile. - Precision Program Management: Masterfully oversee project lifecycles-including milestones, dependencies, and risk mitigation-while providing executive-level transparency through accurate status reporting. - Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject

", "datePosted": "2026-06-10T22:59:51.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "b0d704fdb05673d7619b7fd63849a67c" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Mountain View" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 144 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/databricks/sr-staff-security-assurance-engineer-b0d704fd" } }, { "@type": "ListItem", "position": 16, "url": "https://fewerjobs.com/jobs/databricks/strategy-and-execution-ai-specialist-aae65c00", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Strategy & Execution AI Specialist", "description": "

Strategy & Execution AI Specialist at Databricks - USCA - Strategy & Execution AI Specialist USCA SLSQ427R323 The GTM Planning & Automation Specialist will help design, build, and scale Databricks' next-gen global GTM planning processes. We are looking for a hungry, AI-native builder who views manual workflows as a technical challenge to solve. In this role, you will embed AI, and modern automation directly into our core planning workflows spanning territory assignment, quota modeling, and headcount tracking to transform how our global sales organization operates. The Impact You Will Have - AI-Driven Process Engineering - Design and deploy AI-assisted workflows and agents to automate territory design and account assignment - Intelligent Headcount & Quota Execution - Reengineer the GTM headcount and capacity modeling processes that connect Finance, HR, and Sales data - Next-Gen Planning Infrastructure - Move our infrastructure away from fragile, legacy spreadsheets and toward scalable code, automated data pipelines, and AI-prompt workflows that improve accuracy and speed up planning cycles - Data & Tool Integration - Build lightweight integrations and automations that connect Salesforce, SQL databases, and internal Databricks tools to ensure real-time data flow What We Look For - 2-4 years of experience in Revenue Operations, Sales Operations, Data Analytics, or a highly technical strategy role-ideally within a fast-paced technology environment - AI-Native Mindset - Proactive builder who regularly uses LLMs, API integrations, and code (Python/SQL) to automate tasks, and orchestrate complex prompts - Data & Coding Fundamentals - Strong proficiency in SQL and Python (or similar scripting languages) to extract, clean, and manipulate large data structures.

", "datePosted": "2026-06-10T22:11:34.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "aae65c002edea50f110c5e75bebdb32c" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "unknown" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 92800, "maxValue": 127600, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/strategy-and-execution-ai-specialist-aae65c00" } }, { "@type": "ListItem", "position": 17, "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-architect-agencies-617e0c41", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Solutions Architect - Agencies", "description": "

Sr. Solutions Architect - Agencies at Databricks - New Jersey; New York City, New York; Northeast - United States; Remote - New York - Sr. Solutions Architect - Agencies New Jersey; New York City, New York; Northeast - United States; Remote - New York FEQ327R298 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they

", "datePosted": "2026-06-10T20:00:10.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "617e0c418d756b4d048cb5443fa51a49" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 219100, "maxValue": 301300, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 84 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sr-solutions-architect-agencies-617e0c41" } }, { "@type": "ListItem", "position": 18, "url": "https://fewerjobs.com/jobs/databricks/solutions-architect-sports-6d709f4d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Solutions Architect - Sports", "description": "

Solutions Architect - Sports at Databricks - Central - United States; Minnesota; Northeast - United States; Remote - Illinois; Remote - New York; Remote - Ohio; Remote - Texas - Solutions Architect - Sports Central - United States; Minnesota; Northeast - United States; Remote - Illinois; Remote - New York; Remote - Ohio; Remote - Texas FEQ327R296 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: - Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. - Coach junior Solutions Architects and teams on use case prioritization and building technical champions. - You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem

", "datePosted": "2026-06-10T19:55:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "6d709f4d3e6640271a27091bd610aeb1" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "USA" }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 180000, "maxValue": 247500, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/solutions-architect-sports-6d709f4d" } }, { "@type": "ListItem", "position": 19, "url": "https://fewerjobs.com/jobs/databricks/senior-solutions-engineer-qatar-and-s-africa-fly-in-5d55dfbe", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Solutions Engineer - Qatar & S.Africa Fly-in", "description": "

Senior Solutions Engineer - Qatar & S.Africa Fly-in at Databricks - London, United Kingdom - Senior Solutions Engineer - Qatar & S.Africa Fly-in London, United Kingdom (FEQ427R38) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. As a Senior Solutions Engineer in the MEA Pre-Sales team (Qatar & S.Africa Fly-in), you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: - Create impactful and successful relationships with customer accounts across the regions, providing technical and business value to Databricks customers in collaboration with the extended team. - Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation. - Lead strategic engagements, shaping Data & AI

", "datePosted": "2026-06-10T15:33:16.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "5d55dfbeeef82397e6959d7ede2ea784" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/senior-solutions-engineer-qatar-and-s-africa-fly-in-5d55dfbe" } }, { "@type": "ListItem", "position": 20, "url": "https://fewerjobs.com/jobs/databricks/director-lakebase-sales-specialists-734227d1", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director, Lakebase Sales Specialists", "description": "

Director, Lakebase Sales Specialists at Databricks - Sydney, Australia - Director, Lakebase Sales Specialists Sydney, Australia SLSQ227R829 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team

", "datePosted": "2026-06-10T05:05:27.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "734227d159945592c562898d46098e25" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "AU", "addressLocality": "Sydney" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/director-lakebase-sales-specialists-734227d1" } }, { "@type": "ListItem", "position": 21, "url": "https://fewerjobs.com/jobs/databricks/sr-forward-deployed-engineer-83135e33", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sr. Forward Deployed Engineer", "description": "

Sr. Forward Deployed Engineer at Databricks - Singapore - Sr. Forward Deployed Engineer Singapore CSQ327R142 As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: - Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. - Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. - Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. - Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. - Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment. - Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: - Engineering Depth: Strong background in

", "datePosted": "2026-06-10T01:57:27.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "83135e33ded8a60d2595f9288178e844" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "SG" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sr-forward-deployed-engineer-83135e33" } }, { "@type": "ListItem", "position": 22, "url": "https://fewerjobs.com/jobs/databricks/rvp-retail-547c162d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "RVP, Retail", "description": "

RVP, Retail at Databricks - United States - RVP, Retail United States Req ID: SLSQ327R407 Title: RVP, Retail Location: United States Mission: We are looking for a strategic Regional Vice President to lead our Retail team in North America. You will lead an agile team of Directors and their Enterprise Account Executives, measured by achieving overall team quota, new logo acquisition, and expanding Databricks adoption across the most strategic retail customers in North America. This team is passionate about building a modern data and AI ecosystem across the industry and helping customers and partners succeed. You will report to the Vice President of Retail in North America. What you will do: - Build and lead a team of talented Directors and Enterprise Account Executives to drive growth across strategic and emerging markets within the Retail industry. - Inspire a culture of teamwork, customer value, and measurable business outcomes. - Develop trusted relationships with customers and partners to support long-term growth and success across North America. - Foster continuous learning and a strong understanding of Databricks' technical capabilities and future product roadmap. - Lead North American Enterprise growth planning while ensuring forecast accuracy and a predictable, high-growth business. - Scale and accelerate sales through data consumption models and AI-driven business transformation initiatives. - Help customers drive innovation, operational efficiency, and revenue growth by leveraging the Databricks Data Intelligence Platform. What we look for: - You have the desire to build a collaborative, inspired team culture - You live our core values: customer obsession, teamwork makes the dream work, own

", "datePosted": "2026-06-09T22:26:36.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "547c162d04dd29db1d3a65af64b1ee35" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/rvp-retail-547c162d" } }, { "@type": "ListItem", "position": 23, "url": "https://fewerjobs.com/jobs/databricks/sales-director-digital-natives-uki-ff72a16e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sales Director, Digital Natives UKI", "description": "

Sales Director, Digital Natives UKI at Databricks - London, United Kingdom - Sales Director, Digital Natives UKI London, United Kingdom SLSQ327R405 Overview At Databricks, we are helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. Databricks is the data and AI company, and more than 10,000 organizations worldwide - including over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. We are looking for a Sales Director for one of our UK&I Digital Native teams, where you will be leading and developing a high-performing team of experienced Account Executives. You will play a critical role in coaching talent, building a strong team culture, and driving growth across some of the most innovative and strategically important Digital Native customers in the UK and Ireland. This is a first-line leadership role for someone who knows how to elevate sellers, create clarity in a fast-moving business, and help teams win with technical, demanding, high-growth customers. In UKI Digital Natives, Databricks partners with technical founders, CTOs, and engineering-led organizations that move quickly and expect strategic, high-value engagement. The impact you will have - Lead, coach, and develop a team of 7 Account Executives, helping each seller raise performance, build strong account plans, and grow their careers. - Create a high-accountability, high-support team environment that enables consistency across a mixed-tenure, multi-level organization. - Partner closely with cross-functional leaders in Solutions Architecture, Sales Leadership, Marketing, Product, and Partners to drive

", "datePosted": "2026-06-09T08:14:28.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "ff72a16e8740f9c42fd19bde4b79909e" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "GB", "addressLocality": "London" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 120 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/sales-director-digital-natives-uki-ff72a16e" } }, { "@type": "ListItem", "position": 24, "url": "https://fewerjobs.com/jobs/databricks/director-lakebase-sales-specialist-41e14ca1", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director, Lakebase Sales Specialist", "description": "

Director, Lakebase Sales Specialist at Databricks - Tokyo, Japan - Director, Lakebase Sales Specialist Tokyo, Japan We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialist, to lead a team of specialists responsible for growing the Databricks Lakebase business in Japan. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. The Impact You Will Have: - Drive Revenue Growth - Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. - Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. - Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. - Execute and scale repeatable sales plays that drive land-and-expand adoption. - Lead and Develop the Specialist Team

", "datePosted": "2026-06-09T05:32:35.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Databricks", "value": "41e14ca1358e3fd20ab06d045be11295" }, "hiringOrganization": { "@type": "Organization", "name": "Databricks" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "JP", "addressLocality": "Tokyo" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/databricks/director-lakebase-sales-specialist-41e14ca1" } } ] } ] }