Databricks Lead – Delivery & Engineering

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**** * ****10–12 years** in data engineering** * ****3–5 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 Professional**