Senior Data Engineer

- You understand PII handling and governance patterns, and build them into your designs by default - You are fluent in Git workflows — branching, troubleshooting, code reviews - Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB), with a solid grounding in database fundamentals — indexing, performance, design trade-offs - You are comfortable designing schemas and data models, including medallion architecture and Kimball/Star Schema concepts (Fact and Dimension tables), from the ground up - You have supported and grown less experienced engineers before, and enjoy doing it - You design systems, not just implement them — you can reason through trade-offs and defend a decision - Experience in managing infrastructure as code with Terraform - You have built and scaled complex data products in a growing environment — you've seen platforms mature past their early ad hoc stage and know what that evolution actually takes - You write clean, efficient code in Python, PySpark, and SQL, and understand how it performs at scale - Deep, hands-on knowledge of the Databricks platform end to end — workspace and compute configuration, governance, orchestration, user management, engineering best practices - Databricks Certified Data Engineer Professional (or equivalent) - Previous experience in fintech - Proficiency in building streaming data processing systems - Experience building and training AI/ML models - Experience re-architecting a data platform from the ground up -…