platform architecture, guide engineering teams, and ensure solutions are secure, scalable, and production-ready. Key Responsibilities Build and operate scalable data pipelines using Python, SQL, and modern tooling Architect secure data platforms covering ingestion, storage, and access Integrate structured and unstructured data from multiple secure sources Ensure data quality, governance … security, and operational reliability Translate mission requirements into working data solutions Contribute to engineering standards and secure delivery practices Technical Environment Python, SQL, Spark, and distributed data processing Cloud platforms, AWS, Azure, or GCP Modern data platforms including Databricks and Snowflake Data lakes, warehouses, APIs, and secure pipelines DevOps, automation ...