Data Engineering Manager

• Act as the hands-on technical architect for the data platform, making real architecture and design decisions since there is no separate architect role on the team


• Lead and coach a small, close-knit data engineering team, staying hands-on with pipeline design, code review, and day-to-day problem solving


• Own the technical roadmap for migrating core data infrastructure to Snowflake, driving decisions on schema design, performance, and scalability


• Modernize ELT/transformation workflows using tools like dbt, Coalesce, or similar, retiring legacy processes as the platform evolves


• Guide reporting and BI strategy across tools such as Tableau and Sigma so dashboards and data models scale with the new environment


• Coach and develop team members through regular 1:1s and hands-on pairing, stepping in to "coach up" where skill gaps exist


• Partner directly with business stakeholders to translate reporting needs into scalable, well-architected data solutions

What we're looking for...

• Hands-on data engineering architecture experience: someone comfortable owning schema design, performance tuning, and platform tradeoffs without a dedicated architect to lean on


• Strong working knowledge of Snowflake, or a comparable cloud data warehouse with fast ability to ramp


• Experience with modern ELT/transformation tooling such as dbt, Coalesce, or similar platforms


• Experience with Tableau or a comparable BI tool


• A genuine "player-coach" leadership style: someone who leads by doing, not just delegating


• Strong interpersonal skills and a real investment in team culture, mentorship, and cross-functional relationships


• Nice to have: Azure experience, Sigma, Streamlit, or exposure to legacy Microsoft data stacks (SQL Server, SSIS) is a plus but not required