Databricks Lead Delivery & Engineering (India)

Databricks Lead Delivery & Engineering1 Lead hands-on Databricks delivery, ensuring adherence to CoE standards and best practices. Key Responsibilities - Lead Databricks engineering teams - Build and optimize Spark & Delta Lake pipelines - Implement Databricks Jobs, Workflows, CI/CD - Optimize performance and DBU usage - Contribute to Databricks accelerators and standards - Design and implement end-to-end data platforms using Databricks Lakehouse - Lead development of: - Data ingestion (batch & streaming) - Delta Lake data modeling (Bronze/Silver/Gold) - Scalable ETL/ELT pipelines - Optimize Spark workloads for performance and cost - Ensure reliability, scalability, and observability of data pipelines Experience - 1012 years in data engineering - 35 years hands-on Databricks experience Skills - Deep expertise in Databricks, Apache Spark, Delta Lake - Strong hands-on experience with PySpark / Spark SQL (core, SQL, streaming) - Experience designing Lakehouse architectures - Strong understanding of data modeling, data quality, and lineage - Databricks platform features - Cloud-native data engineering - Performance tuning & troubleshooting Certifications (Preferred) - Databricks Data Engineer Associate and Qualified .