Teams at Databricks

Customer-facing engineering role that designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Lead architecture and implementation of data pipelines, ML/AI model integration, and user-facing applications, collaborate cross-functionally, deliver production deployments, provide customer training and support, and contribute reusable assets and product feedback.

Sell Databricks Data Intelligence Platform into large financial services accounts. Develop industry-specific use cases, co-develop business plans with partners, drive adoption of usage-based subscriptions, manage executive relationships, lead cross-functional teams, and close complex enterprise deals to exceed bookings and usage targets.

Sell Databricks Lakebase (managed Postgres) to UKI customers by driving revenue, running multi-threaded sales cycles, orchestrating POCs, engaging platform and application teams, and enabling field teams to adopt Lakebase for operational and AI-native applications.