Senior Data Engineer

The Work You’ll Do

• Own the full pipeline stack: from ingestion through transformation, all the way to the finance-trusted, close-ready outputs that FP&A, Accounting, and leadership rely on to make critical decisions.
• Design and build the Snowflake architecture and dbt model infrastructure that underpins our US topline data chain.
• Play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams.

What We Need From You

• 5–8 years of experience in data engineering, with a track record of building and maintaining production pipelines and dbt projects at scale.
• Advanced SQL skills: CTEs, window functions, LATERAL joins, performance tuning, and complex multi-source financial queries.
• Production dbt experience: modular models, tests, documentation, and semantic metadata for both AI and BI consumers.
• Snowflake proficiency: roles, warehouses, governance, masking policies, and row-level security – not just querying, but owning the environment.
• Experience supporting financial close cycles, including on-call ownership of pipeline failures; understands what WD1 means and why it matters.
• Strong communication skills: able to explain technical trade-offs to non-technical audiences and write documentation that finance analysts can use to validate outputs.