Sr Databricks & Governance Engineer

Job highlights

• Develop and maintain batch and streaming ETL / ELT pipelines using Databricks,PySpark,Python,SQL,and Delta Lake
• 5+ years of Data Engineering experience . Strong hands-on experience with Azure Databricks . PySpark,Python,SQL,and Delta Lake . Azure Data Factory (ADF) .

Job Summary

We are looking for a Senior Databricks Governance Engineer with 5+ years of Data Engineering experience to develop scalable data pipelines, implement enterprise data governance, and prepare unstructured data for Generative AI applications in a modern Lakehouse environment.

Responsibilities

• Develop and maintain batch and streaming ETL/ELT pipelines using Databricks, PySpark, Python, SQL, and Delta Lake.

• Orchestrate data workflows using Azure Data Factory (ADF) .

• Extract and process unstructured data from PDFs, images, logs, and text files.

• Prepare data for RAG, LLM applications, embeddings, and vector search .

• Implement data access controls, security, and lineage using Unity Catalog.

• Integrate Databricks metadata with Collibra using REST APIs.

• Design and maintain Bronze, Silver, and Gold layers using Medallion Architecture.

• Develop dimensional and Lakehouse data models.

• Optimize performance using Z-Ordering, Liquid Clustering, and Delta Lake optimization techniques .

• Ensure data quality, governance, metadata consistency, and pipeline reliability.

  Mandatory Skills

• 5+ years of Data Engineering experience

• Strong hands-on experience with Azure Databricks

• PySpark, Python, SQL, and Delta Lake

• Azure Data Factory (ADF)

• Unity Catalog - governance, access controls, and lineage

• Collibra REST API integrations - metadata extraction and synchronization

• GenAI / LLM data preparation, including unstructured data processing

• RAG, embeddings, and vector search

• Lakehouse and Medallion Architecture

• Dimensional data modeling and performance optimization

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