Data Platform Technical ArchitectAct 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 teamLead and coach a small, close-knit data engineering team, staying hands-on with pipeline design, code review, and day-to-day problem solvingOwn the technical roadmap for migrating core data infrastructure to Snowflake, driving decisions on schema design, performance, and scalabilityModernize ELT/transformation workflows using tools like dbt, Coalesce, or similar, retiring legacy processes as the platform evolvesGuide reporting and BI strategy across tools such as Tableau and Sigma so dashboards and data models scale with the new environmentCoach and develop team members through regular 1:1s and hands-on pairing, stepping in to "coach up" where skill gaps existPartner directly with business stakeholders to translate reporting needs into scalable, well-architected data solutionsHands-on data engineering architecture experience: someone comfortable owning schema design, performance tuning, and platform tradeoffs without a dedicated architect to lean onStrong working knowledge of Snowflake, or a comparable cloud data warehouse with fast ability to rampExperience with modern ELT/transformation tooling such as dbt, Coalesce, or similar platformsExperience with Tableau or a comparable BI tool A genuine "player-coach" leadership style: someone who leads by doing, not just delegatingStrong interpersonal skills and a real investment in team culture, mentorship, and cross-functional relationshipsNice to have: Azure experience, Sigma, Streamlit, or exposure to legacy Microsoft data stacks (SQL Server, SSIS) is a plus but not required