Azure Databricks Architect - ETL/PySpark

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.