Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.

Design, build, and optimize Snowflake-based data platforms: ingest and model data, implement ELT pipelines, enforce governance and security, tune performance, build CI/CD, enable near-real-time solutions, mentor engineers, and collaborate with stakeholders.

Lead architecture, build, and scale a Databricks lakehouse: design batch/streaming pipelines, enforce governance with Unity Catalog, optimize Spark workloads, operationalize ML (MLflow), manage cloud/IaC, mentor engineers, and partner with stakeholders on roadmap and security/compliance.