Senior Databricks Engineer (Databricks Apps, Genie, Vector Search, RAG)

We are looking for a senior Databricks engineer for an ongoing enterprise engagement. Details will be shared with shortlisted candidates under NDA. Required skills - Databricks on Azure: workspaces, Unity Catalog, Databricks SQL Warehouse, Delta Lake, Volumes - Databricks Apps: building and deploying production apps (Streamlit, Dash, or React/TypeScript with Appkit) - AI/BI Genie: setting up and tuning Genie spaces for natural-language querying - Mosaic AI: Agent Framework, Model Serving, Foundation Model APIs - Databricks Vector Search: embedding pipelines, index creation, incremental/delta index maintenance - RAG systems in production: chunking strategies, metadata filtering, citation grounding, retrieval quality evaluation - Document processing at scale: text extraction, OCR of scanned documents - Strong Python and PySpark; solid SQL - Security: Entra ID SSO, Unity Catalog RBAC, row/column-level permissions, audit logging Nice to have - Lakebase or Genie App Builder - Experience in regulated or security-sensitive enterprise environments - Legacy Oracle data models NDA required before project details are shared