Data Architect with Databricks

Experience required: 15+ years, with a strict requirement of at least 4 years of hands-on Databricks experience.

 Key skills needed:

•  – Databricks (4+ years hands-on)
•  – Apache Spark / PySpark (6+ years)
•  – Big Data ecosystem experience
•  – Strong SQL and data engineering fundamentals

 Key responsibilities include:

•  – Building and optimizing scalable data pipelines using Databricks
•  – Improving Spark performance and efficiency
•  – Developing ETL/ELT workflows with Delta Lake
•  – Contributing to data architecture decisions
•  – Driving best practices across data engineering teams