Databricks Subject Matter Expert (SME) U.S. Citizenship Required

7+ years of professional experience in data architecture and engineering. 3-5 years of Databricks experience, or equivalent (Snowflake, Google BigQuery, Microsoft Azure Synapse Analytics). Proven expertise with Databricks, PySpark, Python, SQL, Kafka, and Databricks notebooks. Strong experience with data modeling techniques and database design. Experience building and optimizing data pipelines for batch and/or streaming data. Experience with cloud platforms (AWS, Azure, GCP) and related data services. Experience automating ELT data pipelines using CI/CD tools. Strong software development background using Agile or DevOps methods. Familiarity with cloud-native technologies. Ability to pass CBP background investigation. Must be able to possess and maintain a government clearance.

Modernize data warehouse by migrating to Databricks. Design, develop, and maintain scalable data warehouse architectures and ETL/ELT data pipelines using Databricks, PySpark, Python, SQL. Automate ETL/ELT data pipelines using CI/CD tools. Analyze data sets and reporting architectures to identify gaps and apply modern technologies. Optimize and troubleshoot data pipelines and warehouse performance. Participate in Agile Scrum ceremonies.