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Design and implement advanced database and storage systems, focusing on performance optimization and distributed query execution as part of the Database Engine team at Databricks.

As a Staff Software Engineer focused on backend systems, you will design, implement, and operate micro-services, work with cloud technologies, and support large-scale distributed systems.

Lead customer-facing engagements to design, build, and productionize end-to-end data and AI solutions on Databricks. Own architecture, implement data pipelines, integrate ML/AI models and user interfaces, drive technical delivery, enable customer adoption, and produce reusable accelerators to scale impact.

Lead technical direction and architecture for Spark Structured Streaming across open source and Databricks, designing core engine capabilities (state management, operators), improving latency/throughput, ensuring operational excellence, and mentoring engineers while partnering with product and customers.

Provide end-to-end product legal counsel on data privacy, protection, AI, cloud, and security; draft and negotiate product/security contract terms (DPAs, BAAs); advise on vendor data flows, incident response, and go-to-market activities; partner cross-functionally and help improve product counseling processes.

Lead the vision and strategy for Authentication at Databricks, focusing on security and user experience. Recruit and mentor engineering talent, communicate security innovations internally and externally.

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.

Lead Databricks’ global Genie sales organization, driving revenue growth, pipeline, enterprise adoption, and repeatable sales plays. Recruit and develop specialist sellers, coach complex enterprise deals, engage executive stakeholders, and partner with account teams, product, engineering, marketing, cloud providers, systems integrators, and ISVs. Shape product and go-to-market strategy while positioning Genie as a conversational analytics and enterprise data intelligence platform.

Leads technical strategy for customer accounts by designing scalable data, AI, streaming, and analytics architectures. Advises senior technical stakeholders, drives Databricks adoption and consumption, supports competitive technical wins, coordinates cross-functional resources, and provides product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and the ability to communicate architecture and business value effectively.

Lead technical strategy for customer accounts by designing production-grade data, AI, streaming, and analytics architectures. Advise senior technical stakeholders, drive Databricks adoption and consumption, demonstrate competitive differentiation, orchestrate cross-functional resources, and provide product feedback. The role requires strong Python and SQL skills, distributed data systems expertise, public cloud deployment experience, and the ability to communicate technical solutions to technical and executive audiences.