The role will develop reliable batch and streaming pipelines, modernize legacy ETL workloads, implement governed data models, and deliver trusted data products for analytics, reporting, risk, regulatory, and investment-management use cases. The ideal candidate has deep experience with Databricks, Apache Spark, PySpark, SQL, Python, dbt, Apache Airflow, Delta Lake, Unity Catalog, cloud storage, data quality, CI/CD, and production support.