Teams at Databricks

Lead Databricks-centric customer engagements delivering data engineering, data science, and cloud solutions. Design and deploy end-to-end data architectures, implement and optimize Apache Spark workloads, guide migrations, provide escalated operational support, manage technical project delivery, document/whiteboard solutions, and collaborate with stakeholders. Travel to customers ~20%.

Customer-facing technical leader guiding enterprise customers through cloud data engineering and lakehouse transformations. Architect and optimize large-scale ETL/streaming pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, and drive adoption through workshops and community engagement.

Serve as a trusted technical advisor for Databricks on Azure, designing and deploying secure, scalable enterprise architectures. Provide platform administration, networking and identity guidance, build PoCs for pre-sales, automate deployments with IaC, mentor peers, and promote adoption via community content and events.