Founding Data Engineer

📋 Description

• Rebuild the data warehouse architecture, schemas, and core datasets.
• Deliver trusted, reusable data products powering analytics and AI.
• Stand up data observability with quality checks and lineage.
• Own in-app reporting to enable better decision making.
• Enable self-serve: evolve data layer and dashboards for teams.
• Lay the retrieval layer behind our AI agent's customer context.

🎯 Requirements

• Built modern analytics stacks end-to-end (warehouse, transforms, governance).
• Strong with SQL, BigQuery, and dbt/Dataform.
• Experience building analytics or AI retrieval layers with real-time data platforms.
• Care about data quality, trust, and reusability as much as shipping speed.
• Take initiative and measure work by end-user impact.
• Communicate clearly and build alignment without heavy process.