Teams at Databricks

Build and productionize customer-facing data and AI solutions on Databricks. Own architecture, design, implementation, deployment, and technical delivery of scalable systems spanning data engineering, machine learning, AI models, pipelines, and applications. Guide enterprise customers, collaborate with engineering and product teams, resolve implementation issues, document solutions, and create reusable accelerators. The role requires customer immersion, stakeholder management, technical project delivery, and approximately 20% travel.

Drive adoption of Databricks Genie across a regional territory through technical strategy, executive engagement, workshops, presentations, demos, and customer-facing collateral. Partner with Account Executives, GTM, Product, Engineering, GSIs, and consulting firms. Architect governed analytics solutions spanning semantic models, warehouses, metric layers, Lakehouse, and AI ecosystems; address governance and security concerns; resolve complex technical escalations; and provide roadmap feedback.

Manages and mentors a team of data engineers and architects, provides technical guidance, oversees customer Databricks projects, leads reusable tooling development, handles escalations, partners with stakeholders, improves service offerings, and supports customer success throughout sales and delivery.