Jobs at Databricks

Lead technical strategy for customer accounts, from discovery through production deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior customer architects and engineering leaders, lead architecture discussions, build custom demonstrations, coordinate cross-functional resources, and influence product direction. The role requires strong Python and SQL coding, distributed data systems expertise, public-cloud deployment experience, and the ability to translate technical architectures into business value.

Provides U.S. and global employment-law advice on compensation, benefits, pay equity, recruiting, mobility, immigration, employee privacy, HR AI, and M&A. Drafts employment documents, supports disputes, leads cross-border projects, advises on workforce technology and AI governance, monitors legal developments, and develops scalable legal processes. Partners with People, recruiting, privacy, tax, security, corporate development, and regional legal teams in a fast-moving technology company.

The Startup Account Executive will prospect for and close new startup accounts while expanding existing customer relationships. Responsibilities include building territory plans, prioritizing accounts, communicating the Databricks Lakehouse vision, managing transactional and strategic sales cycles, achieving pipeline and revenue targets, and maintaining accurate Salesforce and Clari records. The role requires at least one year of closing experience, preferably in big data, cloud, or SaaS sales, along with a demonstrated history of exceeding quotas.

Lead customer adoption of Databricks Data and AI solutions by designing distributed data architectures, building proof-of-concepts, validating cloud integrations, and presenting technical demonstrations. Provide escalated customer support, develop reference architectures and technical guides, evangelize Databricks open-source technologies, and collaborate with sales and internal teams. Travel to customers up to 30%.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads technical customer engagements for Databricks strategic accounts, including discovery, solution architecture, platform demonstrations, proofs of concept, and technical strategy. Builds production-quality data solutions across engineering, analytics, and machine learning; presents technical differentiation; develops reusable assets; and partners with Account Executives to expand platform adoption and consumption.

Customer-facing Solutions Architect driving adoption of the Databricks Lakehouse platform. Design distributed data architectures, build proofs-of-concept, validate cloud integrations, present reference architectures and demos, support escalations, and evangelize open-source projects. Partner with sales to deliver strategic value and advise customers through implementations. Travel up to 30%.

Lead day-to-day operation and maturation of Databricksprivacy compliance program, develop AI-enabled controls, run privacy by design and risk assessments, manage data subject rights, contracts (DPAs, SCCs), regulatory engagement, incident response, policy development, cross-functional training, and continuous process improvement across the company.

Customer-facing, hands-on engineer who architects and delivers production-grade data and AI solutions on Databricks. Responsibilities include end-to-end design, building data pipelines, ML/AI integration, deployment, stakeholder engagement, reusable assets creation, and guiding customers on architecture and adoption.

Drive enterprise sales growth for Databricks across Fortune 500 CMEG accounts. Build relationships with executives and decision-makers, expand platform adoption into new business units, exceed pipeline and revenue targets, manage forecasts in Salesforce, and use value-based selling to communicate the benefits of Databricks’ data and AI platform. The role requires enterprise sales expertise, technical fluency in big data, cloud, SaaS, analytics, and AI, and the ability to manage strategic accounts independently.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Leads partner technical enablement and platform adoption for Customer Lake and Lakewatch. Co-architects enterprise data solutions, expands observability deployments, advises partner executives, creates reusable architectures and deployment blueprints, and coordinates cross-functional go-to-market initiatives. The role requires advanced coding, data architecture, Databricks, cloud, data governance, monitoring, and executive influence expertise, with responsibility for driving consumption growth and competitive enterprise wins.

Drive enterprise adoption of Databricks Genie by achieving consumption, bookings, and activation goals. Build executive-backed opportunities, develop repeatable field plays, enable account teams, and coordinate sales, solutions architecture, business units, and partners. Translate customer and market feedback into product and go-to-market recommendations while expanding production deployments. The role requires enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI, along with complex buying-center navigation, value selling, land-and-expand execution, and partner strategy development.

Lead strategic enterprise sales for Databricks’ Data Intelligence Platform within a focused enterprise account. Build relationships with CIOs and business leaders, expand usage across business units, drive value-based growth, exceed pipeline and revenue targets, manage forecasts in Salesforce, and develop internal and customer success plans. The role requires selling big data, cloud, SaaS, analytics, and AI solutions to large accounts using a consumption-based model.

Lead analyst relations programs to improve Databricks’ positioning in industry evaluations, including Gartner, Forrester, and IDC. Develop differentiated narratives, submissions, demonstrations, customer evidence, and executive briefings. Scale analyst relations through AI-assisted workflows, convert analyst feedback into product and go-to-market recommendations, and influence product, marketing, sales, and executive teams. Manage multiple deadline-driven workstreams while improving analyst advocacy, market visibility, and evaluation outcomes.

The Director, AI Sales will grow Databricks’ enterprise AI business by driving strategic account adoption, production usage, bookings, and consumption. Responsibilities include developing AI sales plays, enabling field teams, securing executive and technical sponsorship, advancing complex opportunities, coordinating sales and partner stakeholders, and translating customer feedback into product and go-to-market recommendations.

Drive enterprise sales of Databricks’ cloud data platform across new and existing accounts. Develop territory plans, engage CIOs and other senior decision-makers, manage complex sales cycles, identify opportunities, exceed pipeline and revenue targets, maintain Salesforce forecasting data, and use solution-based selling to communicate the value of Databricks, Apache Spark, and big data technologies.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Build and grow Databricks’ CustomerLake sales business across enterprise and strategic accounts. Partner with Account Executives to develop pipeline, engage CMOs and marketing leaders, lead complex evaluations and negotiations, create quantified business cases, and drive adoption and revenue. The role also develops repeatable sales plays, enables field teams and partners, and shapes the emerging CustomerLake sales strategy.

Leads global pipeline strategy, executive pipeline governance, and Sales Development capacity planning. Builds pipeline targets, coverage models, operating cadences, compensation frameworks, and career architecture for xDR teams. Partners cross-functionally across Sales, Marketing, Partnerships, Product GTM, and Programs to improve pipeline generation and executive decision-making. Uses AI, automation, analytics, and strategic reporting to optimize workflows, productivity, and account coverage.