Jobs at Databricks

Leads customer-facing delivery of production-grade data and AI solutions for government clients. Owns architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications using Databricks. Guides customers, collaborates with engineering and product teams, delivers technical projects, resolves implementation issues, and creates reusable frameworks. The role requires enterprise stakeholder management, customer immersion, technical training, documentation, and 25% travel to client sites.

Senior Solutions Architect partnering with sales, customers, and product teams to design big data, data engineering, data science, machine learning, and SQL solutions. Responsibilities include developing architectures, implementing proofs of concept, validating cloud and third-party integrations, advising on competitive landscapes and best practices, and promoting Databricks open-source projects. The role requires strong distributed data systems experience, Python and SQL proficiency, public cloud expertise, and customer travel.

Serve as a strategic People Partner to corporate-function leaders, translating people strategy into business outcomes. Own performance, compensation, talent review, culture, and organizational programs; provide organizational insights using people data; coach VP and executive leaders; support organizational change, talent strategy, and leadership effectiveness; and develop AI-enabled workflows and scalable people analytics solutions.

Leads end-to-end development of full-stack web and mobile applications, data pipelines, AI-powered integrations, authentication systems, and deployment automation for internal employee experience tools. Owns architecture, implementation, reliability, stakeholder management, roadmap planning, and technical documentation. Mentors engineers, establishes software development standards, and collaborates with Security, Legal, HR, Finance, and Engineering teams.

Leads architecture and hands-on development of production agentic applications for quote-to-cash workflows. Builds reliable LLM-powered agents, evaluation systems, human-in-the-loop controls, governed tool integrations, and auditability for pricing, ordering, billing, and revenue recognition. Partners with Finance, Deal Desk, Sales, Legal, and engineering teams to migrate enterprise workflows, protect financial integrity, establish agentic engineering standards, and mentor engineers. This is a senior technical leadership role without people-management responsibility.

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.

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.

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.

Build and maintain scalable AWS infrastructure, observability platforms, Kubernetes workloads, Infrastructure as Code, and CI/CD pipelines. Develop automation tools and AI-assisted workflows, establish secure logging, metrics, and tracing standards, optimize cloud environments, and collaborate with security and engineering teams. The role also includes troubleshooting, documentation, code reviews, operational playbooks, and knowledge sharing.

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 execute Databricks’ venture capital and private equity ecosystem strategy. Develop investor relationships, create founder and portfolio-company programs, generate qualified introductions, and connect companies with sales and technical teams. Lead workshops, briefings, events, portfolio reviews, and executive communications while measuring program conversion and value. Collaborate with startups, sales, field engineering, marketing, and partners to deliver data and AI outcomes, strengthen investor engagement, and support new-account acquisition and expansion.

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.

Own full-cycle recruiting for Corporate Functions roles across AMER, including Finance, Legal, People, Workplace, and corporate leadership. Partner with senior leaders on sourcing strategy, market mapping, compensation positioning, workforce planning, and closing strategies. Build talent pipelines, engage passive candidates, use hiring data and metrics, deliver an excellent candidate experience, and support diverse workforce growth in a fast-scaling technology company.

Design and implement distributed systems for cross-region replication and disaster recovery of Lakeflow pipelines. Responsibilities include ensuring consistency, idempotency, causal ordering, failover, failback, metadata reconciliation, observability, recovery simulation, and failure-injection testing. The role requires building reliable, production-quality solutions for streaming and batch data pipelines while contributing to a long-term technical vision.

Support Sales Finance by building financial models, analyzing usage and bookings trends, improving forecast reliability, and delivering insights and recommendations to sales and finance leadership.

Data Science Interns will use Databricks business and operations data to generate insights for product design, customer acquisition and retention, and engineering efficiency. Responsibilities include collaborating with cross-functional stakeholders, applying statistical and machine learning methods such as causal inference and recommender systems, managing end-to-end projects, presenting findings, and deploying algorithms. Candidates will work with SQL and Python and pursue a quantitative Master’s or PhD degree.

Lead the architecture and long-term technical direction of Databricks AI Runtime, a serverless GPU training platform. Drive reliability, observability, developer experience, GPU efficiency, orchestration, scheduling, data loading, checkpointing, and multi-node training capabilities. Partner with research, product, customers, and engineering teams to resolve complex technical trade-offs, anticipate GPU and workload trends, mentor senior engineers, and deliver scalable, cost-effective AI infrastructure.

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.