Partner with Engineering on production schema changes (Postgres to Snowflake)
Work with Finance to model accounting logic
Build and maintain data pipelines
Keep business-critical data available for internal teams and practices
Own the data stack end to end including pipelines, warehouse, and modeling layer
Establish SOPs and KPIs for data infrastructure

🎯 Requirements

5-10 years of data engineering experience
Deep dbt and SQL modeling skill applied to business logic
Python and software engineering fundamentals strong enough to own orchestration
Track record of leading end-to-end delivery
Ownership mindset about uptime, reliability, and cost
Fluency with AI tooling in daily work

🎁 Benefits

Set the standard for data patterns and conventions
Data architecture competitors can't match
Modern stack with room to grow
Highly visible IC role executing C-Suite level initiatives

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