Databricks jobs

Strategic Account Executive-TELCO Atlanta, Georgia; Dallas, Texas; Kansas SLSQ227R344 Candidates in the listed location(s) are encouraged for this role - Remote - Dallas - Remote-Atlanta - Remote-Kansas - Remote-Midwest As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specificlaly in the TELCO space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to enterprise clients under the CMEG umbrella (Telco orgs). You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: - Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. - Drive value-based growth within the account. - Expand the Databricks footprint into

Sr. Manager – Data & AI Support Engineering Plano, Texas P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. - Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. - Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. - Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. - Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. - Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. Outcomes - Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. - Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. - Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. - Lead and

Senior Engineering Manager for Workspace Platform San Francisco, California RDQ225R488 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. The Workspace Platform team is on an ambitious mission to scale our customer base 100x and support the future of agentic AI workloads. Our goal is to build a unified, consistent, and foundational Shared Platform for the entire Databricks Workspace experience. As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization (akin to Google Drive), Collaborative code editing, and Repository management (akin to Github). This is a high-impact, exciting opportunity to guide a team of ~20 software engineers in creating platform features, intuitive workspace experiences, and partner integrations that are essential to Databricks' expansion and user adoption. The impact you will have: - Strategy & Vision : Define and drive the technical strategy for the Workspace Platform, including building over 16 shared capabilities that underpin the entire Databricks experience. - Execution Ownership : Own the roadmap, execution, and delivery for the platform, ensuring all team deliverables meet the highest standards of quality and timeliness. - Engineering

Senior Staff Applied AI Engineer - Context Retrieval Mountain View, California; San Francisco, California P-1549 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. The Mission Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find - and how well it understands what it finds. We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers . This is a zero-to-one role with two deeply connected charters: - Build the retrieval stack - query understanding, content understanding, ranking, retrieval, and evaluation - across the Enterprise SaaS data stored across multiple systems. - Build the search subagents that sit on top of that stack and reason about what context is needed , how to retrieve it , and whether the right thing actually came back - closing the loop between an agent's intent and the substrate that serves it. If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and

Staff Product Security Engineer United States RDQ226R605; This role can be based remotely anywhere in the United States. The Product Security Team's mission is to Left-shift SDLC (Security Development Lifecycle) processes for ALL code written in Databricks (for Customer Use or Supporting Customer internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services. You will be an individual contributor on the product security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident. You will work with a global team, spread across various locations in the US and EMEA. The impact you will have: - Full SDLC Support for new product features being developed in ENG and non-ENG teams. This would include Threat Modeling, Design Review, Manual Code Review, Exploit writing, etc. - Work with other security teams to provide support for Incident Response and Vulnerability Response as and when needed. - Work with the results of SAST tools to help evaluate and identify false positives and file defects for real issues. - Work on DAST tools and related automation for auto-assessment and defect filing. - Maintain the automation framework and add new features as needed to support different security compliances that Databricks

Solutions Architect : Data & AI - Digital Native Bengaluru, India FEQ425R230 As a Solutions Architect, you will be the technical cornerstone of the sales process, driving hands-on evaluations and serving as a strategic advisor to both our customers and internal teams. You will bridge the gap between business vision and technical execution, helping organizations solve their most complex challenges in big data, analytics, and data science. By acting as a technical advocate in the field, you will directly influence the product roadmap while helping customers achieve tangible, data-driven outcomes through the Databricks Lakehouse Platform. In this high-impact role, you will report to the Field Engineering Manager and collaborate with our most strategic prospects to integrate our platform into their enterprise ecosystems. You will navigate the competitive landscape with authority, applying best practices to develop technical champions within customer organizations. Beyond immediate technical delivery, you will grow as a leader in the cloud space, architecting sophisticated solutions that define the future of Data Engineering and AI for the world's most innovative companies. This is a Hybrid role, based in Bengaluru. The impact you will have: - You will be a Big Data Analytics expert on aspects of architecture and design - Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem - Support your customers by authoring reference architectures, how-tos, and demo applications - Integrate Databricks with 3rd-party applications to support customer architectures - Engage with the technical community by

Staff Software Engineer, AI Search Mountain View, California RDQ427R351 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. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Engineer for Search, you'll play a critical role in building and scaling our next-generation Search product - spanning Vector Search, Keyword Search, and Search Quality. You'll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you'll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks. The impact you will have: - Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets. - Identify and solve challenges in indexing, storage, query execution, and ranking -

Sr. Manager, Partner Solutions Architect Singapore FEQ425R219 The Sr. Manager, Field Engineering (Specialist) will lead a team of Partner Solution Architects. As you help mature our consulting & SI partner development function, you will provide technical guidance for practices at our consulting partners that span pre-sales teams and their data analytics delivery organizations. Your experience and influence, will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem. You will guide and enhance your team's effectiveness; be an expert at communicating complex, outcome-based results that drive consumptions and help our joint customers achieve their desired outcome. The impact you will have: - You will grow a team of Partner Solutions Architects for a company in high-growth mode. - Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions. This will establish partners as trusted advisors by having strong capability and Databricks practices. - Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product) - Establish relationships across the business to make your partners and our customers successful. - Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values - Drive Customer Success and DBU consumption through

Solutions Architect: Data & AI Bengaluru, India FEQ227R52 As a Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. The impact you will have: - You will be a Big Data Analytics expert on aspects of architecture and design - Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem - Support your customers by authoring reference architectures, how-tos, and demo applications - Integrate Databricks with 3rd-party applications to support customer architectures - Engage with the technical community by leading workshops, seminars and meet-ups - Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: - Strong consulting / customer facing experience , working with external clients across a variety of industry markets - Core strength in either data engineering or data science technologies - 8+ years

Sr. Manager, Field Engineering United States FEQ127R252 The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the Retail, Consumer Goods, and Travel & Hospitality industries are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the large-enterprise ecosystem and the critical role of modern data architecture in advancing their Data & AI initiatives. Additionally, this SA leader will inspire their team of Solution Architects by translating their team's vision into a tangible and effective strategy in order to drive our customers' data and AI experiences forward. The Sr. Manager, Solutions Architecture, will help lead a team of SAs within Databricks' Field Engineering team's Retail vertical. Reporting to Matt Harris, Sr. Director of Field Engineering, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks' market growth. The Impact You Will Have - You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode. - Make your customers in the Consumer Goods segment successful with Databricks and provide outsized value to their businesses. -

Senior Software Engineer, Fullstack - AI Product (NYC) New York City, New York P-1606 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. As one of the first engineers in the NYC Engineering office, you'll have the opportunity to be part of a small, nimble team that's innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business 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'll have: - Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency - Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth - Lead by example with hands-on

Strategic Alliance Operations Director United States FEQ327R143 The Strategic Alliance Operations Director will lead the Accenture Databricks Business Group (ADBG) and build the operating model that powers one of Databricks' most strategic global partnerships. In this role, you will own the governance, portfolio management, and execution cadence for the ADBG, while also overseeing a focused strategic investment program that accelerates joint innovation with Accenture. As the Strategic Alliance Operations Director, your primary mission is to design, launch, and scale the global operating framework that ensures Databricks and Accenture execute consistently, predictably, and with clear accountability across all joint initiatives. As a key extension of this mission, you will also define and manage a targeted partner innovation investment program that is fully integrated into the governance, ensuring that all investments are strategically aligned, operationally sound, and measurable for impact. The impact you will have: - Establish, operationalize, and programmatize the Accenture BG, including governance structures, operating cadence, and delivery standards for all joint Databricks-Accenture initiatives. - Maintain an end-to-end, integrated portfolio view covering pipeline, active programs, dependencies, financial performance, delivery health, and risks. - Lead executive and operational cadences (QBRs, steering committees, exec reviews) to drive decisions, resolve escalations, and ensure alignment across Databricks and Accenture stakeholders. - Develop and maintain KPI dashboards and reporting that provide clear visibility into revenue, utilization, program status, delivery quality, and customer outcomes. - Define and roll out standardized tools, templates, and best practices for planning, tracking, governance, and reporting, enabling consistent, scalable execution across

Lead Solutions Architect - Strategic Customers London, United Kingdom Req ID: FEQ126R19 Location: London Industry Sector: All verticals - Strategic Customers The Opportunity: Shaping The Future of Data & AI With Our Largest Customers Data & AI are the engine driving transformation across our customer base. We are seeking a strategic technical leader to collaborate with our most significant, complex enterprise customers to accelerate that transformation across the UK & Ireland. As a Lead Solutions Architect in the UKI Field Engineering practice, you will be an expert in driving organisational transformation through technology, data and AI . You will work with Databricks UKI leadership to identify and engage a select group of customers at the executive level to advise on and drive Databricks adoption to achieve their business objectives. You will demonstrate our builder culture to the highest standards. At Databricks, we believe in “show, not tell”, and you will leverage the latest in Data & AI technologies to inspire customer CTOs, VPs and senior leaders to think bigger and go further in democratising Data & AI across their organisations. You will act as a peer leader for the Databricks UKI technical communities, demonstrating thought leadership, working to establish and maintain best practices and collaborating across our leadership teams to drive collective success and develop the next generation of solutions architecture talent. Why You'll Love This Role Strategic Influence: You will move beyond pure technology to shape long-term data strategies for complex, enterprise-scale organisations operating at the cutting edge of

Senior Backline Engineer (Platform) Bengaluru, India P-1386 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 tackle 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. As a Backline Technical Solutions Engineer you will help our customers to be successful with the Databricks platform by resolving important technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Manager of the Backline Engineering Team. The impact you will have: - Troubleshoot and resolve complex customer issues related to the Databricks Platform by analyzing the core component metrics and logs. - Provide suggestions and best practice guidance for improving performance in customer-specific environments and providing product improvement feedback. - Help the support team with detailed troubleshooting guides and runbooks. - Contribute to automation and tooling programs to make daily troubleshooting efficient.

Data Engineer (Big Data, Python, Databricks) - Assistant Vice President CHENNAI, Tamil Nādu, India | PUNE, Mahārāshtra, India

Data Engineer ( Bigdata/Databricks) CHENNAI, Tamil Nādu, India

Account Executive - West Mumbai, India As an Account Executive your mission will be to help further build our India business, which is one of our fastest growing markets in APJ. The Databricks Sales Team is driving growth through strategic and innovative partnership with our customers, helping businesses thrive by solving the world's toughest problems with our solutions. You will be inspiring and guiding customers on their data journey, making organisations more collaborative and productive than ever before. You will play an important role in the business in India, with the opportunity to strategically build your territory in close partnership with the business leaders. Using your passion with technology and drive to build, you will help businesses all across India reach their full potential, through the power of Databricks Data Intelligence Platform. 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. The impact you will have: - Prospect for new customers - Assess your existing customers and develop a strategy to identify and engage all buying centres - Use a solution approach to selling and creating value for customers - Identify the most viable use cases in each account to maximise Databricks' impact - Orchestrate and work with teams to maximise the impact of the Databricks ecosystem on

Engineering Manager - Lakebase Storage London, United Kingdom P-1534 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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. As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineering leaders to build out both the Lakebase product and our London presence. Key responsibilities include: - Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust. - Manage the development and rollout of storage services that host millions of customer databases across dozens of regions - Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure. - Lead operational excellence in 24/7 operation of our system The impact you will have: - Hire great engineers to build an outstanding team. - Support engineers in their career development by providing clear feedback and develop engineering leaders. - Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). - Work with engineering and product leadership to build a long-term

Manager, Professional Services Remote - India CSQ227R28 As a Manager (Professional Services) , you will hire & manage Big Data Engineers / Architects and participate in technical and design discussions with regions and customers. You will also assist our customers by overseeing projects in their Databricks journey and provide them with the guidance, knowledge, and enable them to accomplish the value and achieve their strategic objectives using our products. This individual is expected to be based in Bengaluru. The impact you will have: - Hire great people and provide technical guidance, career development, and mentoring to team members - Participate in key technical and design discussions with technical leads in the team as a hands-on manager - Experience leading the development of IP, reusable tooling , and assets for field professional services teams and partners - Partner with key business stakeholders to prioritise work and create amazing products to support our data platform. - Manage a team of technical data engineers to achieve customer, company, and team goals - Acts as the first point of escalation for customers when they have questions with our delivery. Additionally, provides escalation as needed into other parts of Databricks to ensure rapid resolution of technical and business issues. - Provide input to grow and improve internal processes and customer success service offerings. - Effectively builds and leverages customer relationships throughout the sales and delivery process. What we look for: - 12+ years of industry experience - 6+ years of successful experience in a customer

Senior Software Frontend Engineer – Dashboards Vancouver, Canada At Databricks, we're passionate about enabling data teams to solve the world's toughest problems - from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world's best Data Intelligence Platform , empowering customers to turn massive data into deep, actionable insights. Founded by engineers and driven by innovation, we're obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable. As a Senior Frontend Engineer focused on Dashboards , you'll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You'll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks. What You'll Do - Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling. - Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences. - Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale. - Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability. - Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases. - Collaborate with backend engineers and adjacent teams to define APIs, data models, and

Business Value Consultant, Financial Services New York City, New York SLSQ227R363 At Databricks, our Business Value Consultants are trusted advisors who connect our cutting-edge data and AI solutions to measurable business outcomes. As a key member of our global Value Acceleration team focusing on Financial Services in the Americas, you'll partner with sales teams to articulate and quantify the transformative impact of Databricks' solutions. This role is located in the US (Northeast Preferred) and reports to the Global Leader of Value Acceleration: The impact you will have: - Drive significant financial impact across Financial Services sector customers in the Americas - Identify root causes of challenges in our value selling process and implement scalable solutions - Work with Leadership ensuring that sales-led customer engagements are centered around value creation and measurement - Be instrumental in pursuits of key accounts, building win narratives and account strategy - Help win sales opportunities, directly engaging with sales teams and customers to build the business case and document the impact realized from using Databricks - Teach the tenets of Business Value Consulting to field Sales and Customer Success teams - Work with Marketing to promote the measurable impact of Databricks inside and outside our company through presentations, blogs, webinars, and whitepapers - Build reusable financial benefit analysis models for BVC practitioners and field teams - Partner with GTM leaders to advance industry and broader go-to-market objectives - Leverage Databricks' unique differentiators to address customer challenges and accelerate growth What make this role unique: This

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

Staff Software Engineer - AI Platform (NYC) New York City, New York P-1607 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. As one of the first engineers in the NYC Engineering office, you'll have the opportunity to be part of a small, nimble team that's innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business 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'll have: - Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency - Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth - Lead by example with hands-on full-stack

Sr Fullstack Engineer, Agentic Applications Mountain View, California 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 tackle 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. As a Senior Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. - Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. - Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. - Seamless onboarding and management for all members of an organization to become data-driven. - Provide a great SQL-centric data exploration and dashboarding