Jobs at Databricks

Lead technical customer engagements for Databricks Customer Lake, guiding architecture, data engineering, identity resolution, audience activation, and agent deployment. Deliver presentations, workshops, proofs of concept, and customer-facing collateral while partnering with sales, marketing, engineering, product, GSIs, and consulting organizations. Advise executive and technical stakeholders, manage complex escalations, influence product strategy, and improve qualification and POC processes to drive adoption and expansion.

Serve as a technical advisor to enterprise customers, architecting, securing, administering, and automating Databricks deployments across AWS, Azure, and GCP. Lead cloud networking, identity, infrastructure-as-code, platform operations, and distributed data architecture discussions. Demonstrate custom solutions in competitive sales engagements, support platform adoption, collaborate with field teams and partners, influence product direction, and contribute to customer-facing thought leadership. The role requires strong Python and PySpark/Spark coding, Databricks expertise, executive communication, and up to 30% travel.

Partner with account executives and architects to win digital-native customers across the UK and Ireland. Lead hands-on evaluations, proofs of concept, technical demonstrations, and competitive positioning for Databricks’ data and AI platform. Engage engineers, founders, and executives; communicate technical and commercial value; develop customer-facing collateral; and support workshops and technical community events. The role requires regular London office attendance and approximately 20–30% travel across the region.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, real-time analytics, and lakehouse architectures. Advise senior technical stakeholders, lead architecture discussions, build demonstrations, drive competitive technical wins, coordinate internal and partner resources, and provide product feedback. Develop a technical specialization and communicate complex architectures as business value.

Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.

Lead end-to-end technical strategy for customer accounts, from discovery through deployment and platform adoption. Design scalable solutions across data engineering, machine learning, AI, streaming, and real-time analytics. Advise senior technical stakeholders, lead architecture discussions, demonstrate competitive differentiation, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Lead customer-facing technical engagements spanning discovery, solution design, architecture reviews, platform demonstrations, and proofs of concept. Build production-quality data solutions using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Partner with Account Executives on technical account strategies, demonstrate competitive differentiation, maintain customer engineering relationships, and contribute reusable notebooks, accelerators, and reference architectures.

Lead a UK&I enterprise sales team to acquire new logos and grow Databricks consumption across Healthcare, Professional Services, Retail, and CPG. Build territory plans, hire and motivate sales talent, manage forecasting and GTM initiatives, expand strategic partnerships, and drive transition from landing to expansion while ensuring accurate reporting and predictable high-growth revenue.

Lead EMEA workplace operations for Databricks, managing offices in London, Stockholm, Israel, and Saudi Arabia. Develop consistent operational processes, improve workplace experience, manage budgets, hire and coach onsite teams, oversee vendor and property manager relationships, support office openings and tenant improvement projects, and run RFPs and lease negotiations across international markets.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design decisions, implements data pipelines, integrates ML/AI models, collaborates cross-functionally, delivers technical projects, embeds with customer teams, and contributes reusable assets to scale impact.

Lead application of group accounting policy across 27 international entities, own statutory compliance calendar and audit interactions, draft technical accounting position papers, design automated statutory reporting workflows, support NetSuite-to-SAP transition, and advise cross-functional teams on accounting implications of intercompany, funding, and structural changes.

Lead Databricks' Energy industry go-to-market across EMEA: set AI vision with executives, drive GTM strategy and pipeline, align cross-functional teams, deliver thought leadership, and support customer engagements and industry events.

Drive the go-to-market strategy for EMEA Financial Services, focusing on Banking, Capital Markets, and Insurance. Develop relationships, execute growth plans, and engage in thought leadership.

Join Databricks as a Staff Software Engineer focusing on backend development, responsible for building reliable, high-performance services and features for data platforms, tackling challenges in distributed systems and service architecture.

The Lakebase Sales Specialist drives new revenue by selling Databricks Lakebase, collaborating with account teams to target strategic customers and articulate the platform's value for operational workloads and AI applications.

Lead a small (5-6) engineering team while remaining hands-on: design and write code for large-scale distributed services, drive architecture, ensure reliability/SLAs, align stakeholders, and grow engineers through feedback and career development.

Drive net-new enterprise accounts for Databricks across targeted organisations. Develop account strategies, identify use cases and buying centers, shorten decision cycles, close consumption-based deals, co-sell with cloud partners, orchestrate cross-functional teams, and secure executive sponsorship to grow consumption and adoption.

Architect and implement production-grade ML and AI workloads on the Databricks platform, lead enterprise GenAI solutions (RAG, agentic systems, LLMOps), build MVPs for sales cycles, influence product roadmap, mentor colleagues, create technical tutorials, present at conferences, and support customer adoption. Travel up to 30%.

Lead strategy and execution of integrated EMEA marketing programmes targeting C-level executives. Design end-to-end executive journeys, scale high-touch events and experiences, align with sales and regional teams, measure program performance, and build scalable frameworks and best practices to drive pipeline, account penetration, and revenue growth.

As a Deployment Strategist, you'll act as the crucial link between clients and Databricks, managing the end-to-end project lifecycle and ensuring successful adoption of AI solutions.