Design, deploy, and support enterprise Databricks Lakehouse architecture. Implement Unity Catalog and global cluster policies, optimize Spark performance and storage, enforce RBAC and data masking, and productionize Databricks capabilities while enabling secure, cost-controlled data platform usage.

Manage the complete sales cycle including lead generation, networking, and deal closure in a remote team environment. Work with Databricks professionals to drive new business.

Design, build, and maintain Databricks-based data pipelines and ETL/ELT processes using Python and SQL. Optimize workflows for performance and cost, support data modeling and cloud integrations (Azure/AWS/GCP), monitor and troubleshoot pipelines, document best practices, and collaborate with cross-functional teams.