Jobs at Databricks

Own global accounts receivable month-end close, including subledger-to-GL reconciliations, AFDA/CECL modeling, accruals, reporting, and balance sheet integrity. Apply U.S. GAAP, maintain audit-ready workpapers and SOX controls, and partner cross-functionally across Order-to-Cash and Finance teams. Lead AI and automation adoption using Databricks and advanced analytics, while supporting SAP and other finance systems implementations. Drive scalable process improvements in a high-growth technology environment.

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.

Develop customer engagement strategies with account executives, lead complex technical pre-sales engagements, and architect Databricks solutions for data analytics and adoption. Coach junior Solutions Architects, influence executives and stakeholders, conduct proofs of concept, and build technical champions. Create customer-facing content and lead workshops, seminars, and meetups. Travel up to 30% as needed.

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

Coordinate and manage RFx project efforts, ensuring timely responses and collaboration with stakeholders to support revenue-generating activities.

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%.

Provide corporate legal support across M&A, venture and capital transactions, securities compliance and public-company readiness, governance, board materials, disclosure controls, antitrust counseling, international subsidiary management, ESG reporting, and cross-functional stakeholder advising to scale legal processes for a fast-growing technology company.

The Enterprise Account Executive will drive sales growth through strategic relationships with enterprise clients, focusing on big data and AI solutions while meeting revenue targets and leveraging Salesforce for tracking.

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.

Manage and launch innovative learning programs globally, enhance user adoption, and leverage AI and data for effective enablement.

Lead the design, deployment, reliability, and evolution of global unified communications, enterprise voice, conferencing, AV, and workplace technology infrastructure. Support office expansions, executive environments, and large-scale deployments; troubleshoot complex communication systems; build automation and operational tooling; coordinate vendors and cross-functional teams; establish scalable standards and documentation; and mentor engineers.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.

Leads Databricks’ global customer enablement partnerships, owning strategy, operating models, commercialization, partner offerings, pricing, governance, quality standards, and revenue growth. The role coordinates Legal, Finance, Curriculum, Training Operations, Commercialization, and regional teams while scaling partner-led curriculum, certification, and delivery programs. It also develops regional capabilities, manages global partnership ecosystems, and champions AI-enabled expansion.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.

Lead technical strategy for customer accounts, design scalable data engineering and real-time analytics architectures, and drive Databricks adoption. Advise senior customer stakeholders, lead architecture discussions, develop custom solutions for competitive opportunities, coordinate cross-functional teams, and influence product direction. The role requires deep expertise in Spark, Kafka, data warehousing, cloud platforms, Python, SQL, distributed systems, and production deployments. Travel may reach 30%.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

Own the vision, strategy, and roadmap for Databricks’ AI-first learning platform. Build contextual guidance, adaptive learning paths, learner models, assessments, skills graphs, analytics, and personalization tools. Partner with engineering, UX, curriculum, education, and go-to-market teams to deliver scalable learning experiences for customers, partners, and employees. Define metrics, understand skills gaps, engage users, and improve platform adoption through embedded learning capabilities.

Lead technical strategy for customer accounts by designing scalable data, AI, streaming, and analytics architectures on Databricks. Advise senior technical stakeholders, drive platform adoption and consumption growth, conduct architecture discussions, build competitive solutions, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, public-cloud deployment experience, distributed data systems expertise, and excellent technical communication.