Staff Engineer - Data Platform

📋 Description

• Be tech-lead and architect for data ingestion/normalization (ad networks, Fivetran, Snowflake/BigQuery)
• Design schema evolution, data contracts, DQ, lineage, and time-travel
• Drive architecture decisions in GCP/BigQuery/dbt; write cross-team design docs
• Raise engineering bar via code/design reviews; mentor senior engineers
• Partner with data science to translate modeling needs into pipeline contracts/SLAs
• Own incident response and post-mortems; drive systemic fixes and AI workflows

🎯 Requirements

• 10+ years of software engineering; 4+ years building production data platforms
• Staff-level leadership: directing multiple workstreams; mentoring
• Deep expertise in Python and SQL/dbt; fluency with Dagster/Airflow/Temporal and BigQuery/Snowflake
• Ownership of a non-trivial data platform: schema design, evolution, data quality, lineage, cost, reliability
• Strong product judgment; translate DS/ML needs into data contracts
• Excellent written and verbal communication; defend decisions to Eng, Product, Exec
• Bonus: open-source data tooling (Spark/Beam/Iceberg)
• Bonus: experience building AI Agents in a data platform setting

🎁 Benefits

• Flexible PTO
• Equity – Startup ownership
• Health, dental, and vision insurance
• WFH stipend
• Events & Offsites
• Free lunch – hub offices (SF, NYC, Seattle)