Jobs at Databricks

Lead legal support for strategic technology partnerships and complex alliance transactions. Responsibilities include negotiating term sheets and agreements, coordinating cross-functional stakeholders, advising senior leadership, securing approvals, ensuring legal and policy compliance, supporting post-signing integration, and developing scalable partnering processes and templates. The role focuses on AI, cloud, data-platform, open-source, OEM, resale, and marketplace transactions.

Provide end-to-end product legal counsel to engineering, product, marketing, commercialization, and communications teams. Advise on data privacy, AI, cybersecurity, technology transactions, product risks, and global regulations. Draft and negotiate product and security-related agreements, including DPAs and BAAs; assess vendor data flows; support incident response; and improve legal processes. The role requires strong business judgment, technical understanding, communication skills, and at least eight years of relevant legal experience with state bar membership.

Build and extend Databricks platform features across backend, full stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include full software development lifecycle ownership, architecture improvements, testing, production operations, and developing reliable, scalable, and secure solutions. New graduates will participate in collaborative projects with mentorship and learning opportunities.

Build distributed data infrastructure for Databricks' lakehouse platform. Responsibilities may include query compilation and optimization, distributed query execution, vectorized processing, data security, resource management, transaction coordination, storage structures, physical data optimization, and storage management. The role is intended for new graduates starting in 2027 and requires strong programming, algorithms, data structures, object-oriented programming, and project experience.

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.

Manage onsite candidate experience and interview logistics across Databricks’ Seattle and Bellevue offices. Serve as the primary candidate contact, coordinate time-sensitive interviews, oversee greetings and room changes, troubleshoot issues in real time, and communicate with candidates, recruiters, sourcers, and hiring teams. The role also contributes to data-driven recruiting process improvements and requires strong organization, prioritization, accuracy, collaboration, and adaptability.

Leads R&D product finance, capital allocation, ROI measurement, engineering economics, workforce and location planning, and finance operations. Partners with Engineering, Product Operations, People, Workplace, and Facilities executives to optimize human and compute capital investments. Builds scalable financial workflows, supports procurement, accruals, headcount planning, and SOX compliance, modernizes reporting using Databricks, and develops a high-performing finance team.

Owns the financial economics and operations of Databricks’ multi-cloud platform spend. Responsibilities include driver-based forecasting, cloud cost attribution, unit economics, efficiency KPIs, infrastructure roadmaps, automated FP&A workflows, cost allocation, accruals, and reporting. The role partners closely with Cloud Engineering and Infrastructure Operations and uses billing and telemetry data to improve forecasting accuracy, gross margins, and cost visibility across products, regions, and cloud providers.

Leads finance strategy for AI products, including GPU supply and demand planning, cloud capacity procurement, product pricing, unit economics, margin analytics, KPI development, cost allocation, ROI analysis, and capital allocation. Partners with Engineering and Product executives, builds scalable financial systems, and develops a high-performing product finance team.

Build features for the Databricks platform as part of a collaborative engineering team. Interns manage projects from design through coding and feedback while learning to develop scalable, high-quality, secure infrastructure and products. Opportunities span full-stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing engineering teams. Participants receive dedicated mentorship and join a summer 2027 intern or co-op cohort.

Join Databricks as an Associate Product Designer in the 2027 new graduate cohort. You will collaborate with engineers, product managers, researchers, and customers to design platform features from discovery through implementation. Responsibilities include customer research, ideation, prototyping, usability improvement, data-driven decision-making, and communicating design perspectives. The role emphasizes enterprise technology, AI-enabled design workflows, visual hierarchy, information architecture, and solving complex, ambiguous problems collaboratively.

Product Design Intern will collaborate with product managers, engineers, customers, and designers to develop Databricks platform features. Responsibilities include conducting customer research, identifying user needs, managing projects from discovery through prototyping, applying user-centered design methods, performing usability testing, and communicating design decisions to cross-functional partners. This is a 12-week paid summer internship.

Leads technical strategy for large enterprise accounts, guiding customers through Databricks adoption and data-driven transformation. Partners with account executives, builds executive relationships and technical champions, presents solution strategies, coordinates virtual teams, supports ML and AI use cases, and mentors other team members. Requires pre-sales experience, enterprise account leadership, cloud and data expertise, and production programming experience.

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 strategic partnerships with cloud hyperscalers and neoclouds, negotiating bespoke commercial agreements and developing long-term growth opportunities. Collaborates with product, engineering, finance, sales, and marketing teams; builds executive relationships; creates data-driven business cases; influences product decisions; and establishes KPIs to measure partnership success. Requires extensive business development experience, cloud consumption-model expertise, strong analytical and presentation skills, and the ability to independently lead complex deals.

Own the vision, strategy, and roadmap for Databricks SQL and Lakebase products. Partner with engineering, design, sales, marketing, leadership, customers, and partners to launch features, drive adoption, differentiate in the cloud data warehouse market, and align initiatives with business goals. Use customer feedback and data-driven insights to prioritize solutions, measure success, and improve user experience.

Lead product design for Omnigent, Databricks’ platform for building and governing AI coding agents. Own desktop and mobile experiences for live agent sessions, including orchestration, monitoring, approvals, intervention, transparency, and recovery. Design directly in the codebase, build interactive prototypes, establish reusable interaction frameworks, drive cross-platform design consistency, and partner closely with engineering and product. Apply strong interaction, visual, systems, research, and strategic design skills to complex developer and enterprise software experiences.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture and technical design, develop end-to-end data pipelines and applications, integrate ML/AI models, guide enterprise customers, and deliver production systems. Collaborate with engineering, product, support, project management, and customer teams while contributing reusable frameworks and product feedback. The role requires customer travel approximately 20% of the time.

Senior legal counsel supporting international channel and partner programs for a high-growth technology company. Responsibilities include drafting and negotiating partner agreements, developing scalable channel models, assessing compliance risks across jurisdictions, advising on privacy, security, AI, and intellectual property issues, creating training, and collaborating with commercial, operations, compliance, and business teams.

Lead complex enterprise architecture engagements, consumption strategy, and executive technical relationships for Databricks customers. Design scalable data, AI, streaming, migration, and lakehouse solutions; drive platform adoption, competitive displacement, and revenue growth. Orchestrate cross-functional teams, mentor solutions architects, influence senior stakeholders, and contribute to technical thought leadership through workshops, content, and community engagement.