01Overview
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 Professional .
