Databricks jobs

Retail & Consumer Goods EMEA Leader Germany; London, United Kingdom; Netherlands; Paris, France Job Title: Retail and Consumer Goods EMEA Leader Req ID: SLSQ127R516 This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise-a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity. Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA's largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences. You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization-influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets. The impact you will have: - A Scalable EMEA Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You'll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue

Outbound Product Manager, AI Operations Singapore SLSQ327R184 Job Overview We are reimagining GTM at Databricks and are seeking a Product Manager to own AI-powered GTM agents end-to-end: defining what we build, prioritizing the roadmap, partnering with the AI Ops builder team on delivery, and owning field outcomes. You'll sit between senior GTM leadership, Sales Ops, the AI Ops builder team, and the field - translating field reality into a product roadmap that improves how Databricks sells at every stage of the motion. This is an IC role for someone who has worked inside GTM, understands how AEs, BDRs, and CSMs actually operate, and wants to own a product surface that reimagines GTM processes in the age of AI. Key Responsibilities - Product strategy for your agent area: Set the 2-quarter roadmap, write the PRDs/Business Intent Docs, and make the prioritization calls. Advocate for regional needs with the rest of the team as prioritization and roadmaps are built. - Voice of the field: Run structured feedback loops with end users (often, AEs & Front line managers) across APJ. Convert Feedback into a prioritized backlog the builder team can execute against. Over time you will grow into the ability to build within a low code agent building platform. - Agent behavior and quality: Define how agents should behave, SOPs, decision logic, escalation paths, governance guardrails. Partner with builders on prompt and workflow design and cross functional teams (marketing, partner org) on how edge cases should be handled and additional use cases should

Analista Cientista de Dados II São Paulo, , Brazil Company Description: A Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incerteza do risco na melhor decisão, ajudando pessoas a realizarem seus sonhos e empresas de todos os portes e segmentos a prosperarem. Temos 22.000 pessoas operando em 32 países e a cada dia estamos investindo em novas tecnologias, profissionais talentosos e inovação para ajudar todos os clientes a maximizarem cada oportunidade. Com sede corporativa em Dublin, Irlanda, a Experian está listada na Bolsa de Valores de Londres (EXPN) e compõe o índice FTSE 100. Job Description: Job description Buscamos um(a) Cientista de Dados Pleno para atuar no time de Data & Analytics, desenvolvendo modelos preditivos e análises avançadas no ecossistema de pagamentos. Responsabilidades Desenvolver e manter modelos de Machine Learning (classificação, regressão, séries temporais) Construir e otimizar pipelines de Feature Engineering utilizando PySpark e Databricks Notebooks Criar análises exploratórias e dashboards analíticos em Databricks SQL e AI/BI Dashboards Colaborar com times de engenharia de dados na definição de tabelas e métricas no Unity Catalog Realizar experimentação A/B e validação estatística de hipóteses de negócio Documentar e versionar modelos utilizando MLflow Requisitos técnicos Python avançado (pandas, scikit-learn, XGBoost/LightGBM, statsmodels) SQL avançado (CTEs, window functions, otimização de queries) Apache Spark / PySpark - manipulação de dados

Data Platform Administrator Hyderabad, Telangāna, India Our Media Platform Operations team is looking for experienced and motivated Senior Data Platform Administrator along with Snowflake/Databricks/Data automation administrator to join our Data Platform...

Data Governance & Data Quality Specialist India - Hyderabad posted: Posted 30+ Days Ago

Resident Solutions Architect - Public Sector Maryland CSQ227R175 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: - Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases - Work with engagement managers to scope variety of professional services work with input from the customer - Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications - Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

Senior Data Architect, Semantic Layer & Gen AI Readiness Senior Data Architect, Semantic Layer & Gen AI Readiness

Lead Data Engineer State/Province/County | City Filter King Of Prussia | Remote Options Hybrid Requisition Number: 28409 When you work for AmeriGas, you become a part of something BIG! Founded in 1959, AmeriGas is the nation's premier propane company, serving over 1.5 million residential, commercial, industrial and motor fuel propane customers. Together, over 6,500 dedicated professionals will deliver over 1 billion gallons of propane from 1,800+ distribution points across the United States. Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data models and ETL pipelines to meet organizational goals. This role requires proficiency in Snowflake, SQL, and Databricks, with extensive experience integrating data from multiple source systems. The Lead Data Engineer will be deeply involved in coding and implementation work while also serving as a thought leader in best data engineering practices, mentoring team members, and establishing technical standards across the organization. Duties and Responsibilities Hands-on development: • Personally design, build, and maintain complex ETL/ELT pipelines from diverse source systems using Snowflake and Databricks Direct technical contribution: • Write production-quality code and SQL on a daily basis, serving as a primary technical contributor to critical data engineering projects • Lead and manage a team of 1-3 data engineers, providing technical guidance, code reviews, mentorship, and performa

Staff Software Engineer (Apache Spark Poweruser / Committer) Cupertino, United States of America Seeking extraordinary software engineers with deep experience in scalable batch and streaming processing systems. You will have a passion to push the limits of distributed computing frameworks to get every ounce of performance out of them. Looking for engineers with in depth knowledge of Spark and other related existing frameworks/systems such as Iceberg, Parquet. Also someone who will be passionate by the prospect of working reciprocally with other groups internal to Apple and also communities outside Apple. As an engineer on our team, you will advance our data infrastructure, driving innovation by implementing cutting-edge capabilities and tools that will power Apple Services Engineering. You'll collaborate closely with a dedicated team of open source data experts (including Spark, Kafka, Iceberg committers amongst others) to enhance and automate our infrastructure, ensuring seamless management across both data centers and cloud services. Your work will directly contribute to the resilience, scalability, and performance of the systems that support millions of users worldwide. What you can expect to do and contribute to: Develop and deploy new features of Apple's internal data platform. Regularly contribute to open source. Collaborate with cross-functional teams to design and implement automation tools that streamline operations and reduce manual intervention. Optimize our cloud-based services to ensure they scale effectively, handling increasing loads while maintaining high performance. Innovate on API development and integration, enabling seamless communication between our applications and services This is an opportunity to join a dynamic

Python and PySpark Developer Chennai, Tamil Nādu, India

Regional Director, Sales (West & Central US) West Region Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. We automate access by policy and by request-eliminating tickets, reducing risk, and enabling both humans and AI systems to work with data safely and instantly. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally. • Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. • Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and BuiltIn as one of the best workplaces, and by Fast Company as one of the top 50 most innovative companies. • $267 million in total funding. Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures. • A hybrid workplace with offices in Boston, MA; Columbus, Ohio; College Park, Maryland. Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. We automate access by policy and by request-eliminating tickets, reducing risk, and enabling both humans and AI systems to work with data safely and instantly. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally. • Technology partners include Snowflake, Databricks, AWS, Azure,

Bigdata Developer with spark PUNE, Mahārāshtra, India

Senior Data Architect 2 Locations posted: Posted 30+ Days Ago

Head of EMEA Financial Services GTM London, United Kingdom SLSQ227R700 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. As Go-to-Market Leader for EMEA Financial Services, you will drive the go-to-market strategy to grow the Banking/Payments, Capital Markets and Insurance businesses. You will be the domain expert and business executive for financial services within Databricks. You will set the vision, build assets for field productivity, maintain executive relationships with customers and partners, and work with a cross-functional team across Databricks. You have a passion for how Data+AI will transform the banking industry, be familiar with unique challenges that European Financial Service Institutions (FSIs) face, and be effective at influencing decision makers across customers and partners. This job will require travel for conferences, customer and team meetings. You will report to the VP of Financial Services, Cyber Security and Sustainability GTM. The impact you will have - Own the strategy for Financial Services GTM - create growth execution plan, drive C-level relationships with customers, and drive new customers logos and revenue growth - Work with the sales and pre-sales teams to create account-level, segment-level and region-level go-to-market plans across the globe for the vertical - Work with partners to develop strategic C-level relationships with ISV and CSI partners - Identify operational gaps in each sub-segment of the GTM motion, be data-driven about quantifying business opportunities and execute improvement plans - Develop comprehensive sub-vertical sales plays with Sales Programs teams to

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

Lead Data Architect (DataOps) Madrid, Spain posted: Posted 10 Days Ago

Data Platform Management India - Hyderabad posted: Posted 30+ Days Ago

AI Solutions Architect (Datagrid) US - California - San Francisco posted: Posted Yesterday

Enterprise Hunter Account Executive - FSI West Mumbai, India SLSQ227R7 As an Enterprise Account Executive at Databricks, you are an experienced enterprise sales professional specializing in selling to Enterprise accounts (FSI). 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 its value to Customers and System Integrators. Always seeking new opportunities, you will close new accounts while maintaining existing ones. Along with the chance to close exciting deals and solve meaningful problems. The impact you will have: - Present a territory plan within the first 90 days - Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners - Close both new accounts and existing accounts - Identify and close quick, small wins while managing longer, complex sales cycles - Exceed activity, pipeline, and revenue targets - Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce - Use a solution-based approach to selling and creating value for customers - Promote Databricks' enterprise cloud data platform powered by Apache Spark - Ensure 100% satisfaction among all customers - Prioritize opportunities and apply appropriate resources What we look for: - Field sales experience within big data and Cloud - Prior customer relationships with CIOs, program managers, and essential decision makers - Simply articulate intricate cloud technologies - 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts

Data Architecture Lead 12 Locations posted: Posted 4 Days Ago

Manager, Field Engineering Italy Remote - Italy FEQ427R185 Note: Location for the role is in Milan (i.e. within commutable distance). As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Italy. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: - Hire, mentor and grow the pre-sales team in Italy - Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture - Support increased return on investment of SA involvement in sales cycles - Ensure a solution and value-based selling within the field-engineering organization - Display an understanding of needs and revenue potential for accounts in the assigned region - Engage with key customer executives to build and strengthen strategic partnerships - Ensure close alignment with partners and internal services to secure implementation strategies within accounts - Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: - Experience managing a team of successful Big Data, Cloud, or SaaS professionals - Experience in consumption based business environments - Have experience mentoring and scaling

Data Engineer Edinburgh, UK Data Engineer

Data Engineer (Python/Spark) Toronto, Ontario, Canada Who We Are Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company's common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com . While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions. The Challenge We are looking for a dynamic Data Engineer to join a team involved in designing, building, and maintaining reliable and scalable data solutions. The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity, able to think big (while

Senior Data Platform Engineer Bangalore | OnSite ABOUT ASPORA People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users. Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 150+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact. We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you're driven to redefine what global banking can be, we'd love to build the future with you. About the Role We're building the data infrastructure that powers decisions across every part of our business - from real-time analytics to large-scale batch computation. As a Senior Data Platform Engineer, you'll own the systems that process billions of events, move data reliably, and make insights fast to produce. You'll work closely with analytics, ML, and product engineering teams - setting the bar for reliability, performance, and data quality across the platform. What You'll Do 1. Big Data Platform & Infrastructure - Design, build, and operate large-scale data processing infrastructure using Spark on Databricks - ensuring reliability, performance, and cost efficiency at scale. - Architect and maintain lakehouse solutions (Delta Lake, Iceberg) including partitioning strategies, Z-ordering, and compaction jobs. - Own cluster management, autoscaling policies, and resource governance across Databricks workspaces.