Azure Databricks Architect - ETL/PySpark
Description
Work Location : Pan India
Total Experience : 8 - 20 years
Role Overview :
Design and implement end-to-end data architecture using Azure Databricks and Microsoft Azure services.
Key Responsibilities :
- Architect scalable data lakehouse solutions using Delta Lake and medallion architecture (Bronze, Silver, Gold).
- Define data ingestion, transformation, integration, and orchestration strategies.
- Develop and optimize complex data pipelines using PySpark, Spark SQL, and Python.
- Design and implement ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
- Implement data governance, security, access control, and compliance using Unity Catalog, RBAC, and Azure security services.
- Optimize Spark workloads, cluster configurations, job performance, and cloud costs.
- Integrate Databricks with Azure Data Lake Storage Gen2, Azure Synapse Analytics, and other enterprise data sources.
- Establish CI/CD, deployment automation, monitoring, and data quality standards.