Design and own Databricks Lakehouse architectures, lead data engineering and migration projects, build ingestion/transformation pipelines (Python, PySpark, SQL), define data mesh and governance, integrate Databricks with AI/ML (feature pipelines, MLflow, vector/RAG), evaluate emerging table formats, optimize FinOps, mentor engineers, and align cross-functional stakeholders on enterprise-grade data platforms.

Design, build, and operate AWS/Azure cloud infrastructure and DevOps workflows. Own IaC, CI/CD, container and serverless deployments, monitoring, security, cost optimization, and cloud migrations while automating operations and collaborating with development, data, and ML teams.