Senior Data Engineer

What the Role Is:

• Take ownership of architecture and systems that make data engineering scalable, from pipelines to AI-native tooling.
• Work cross-functionally with analysts, data scientists, and product teams to keep infrastructure reliable.

Who You Are:

• Experienced with production AI/LLM systems, with 7+ years building data engineering systems.
• Fluent in Python, Airflow, dbt, and AWS, with a platform-minded approach.

How You Will Make An Impact:

• Build and scale data pipelines into Snowflake, focusing on reliability and performance.
• Design agentic systems for pipeline generation, testing, and maintenance automation.
• Partner with teams to deliver end-to-end data solutions from ingestion to AI.

Why This Role:

• Build the meta-layer that automates pipeline generation, not just pipelines themselves.
• AI is core to the mandate, and you'll influence data systems for a 9M+ user platform.