Staff Backend Engineer - Data Platform- San Francisco

📋 Description

• Architect and build the backend services that power Haus's data platform: high-throughput ingestion
• Solve hard distributed-systems problems in a data context: exactly-once semantics, idempotent
• Own the lakehouse/warehouse as a product: schema and data-model design, dbt architecture, data
• Set the engineering bar for the team — testing strategy, API design, code review, observability
• Drive architectural decisions across our GCP / BigQuery / dbt / Python stack and drive alignment
• Mentor senior engineers and influence the broader org's data strategy.

🎯 Requirements

• 10+ years of software engineering experience, with deep backend and data expertise.
• Hands-on experience with a cloud data warehouse or lakehouse (BigQuery preferred; Snowflake
• Deep SQL/dbt experience: design schemas that survive evolution, correctness and performance of
• Expert-level Python experience for building services, not just scripts or notebooks.
• Staff-level technical leadership: setting direction across multiple workstreams, writing design
• Excellent written and verbal communication; able to defend technical decisions to engineering

🎁 Benefits

• Flexible PTO - take time when you need it!
• Equity – Startup environment with part-ownership in our successes
• Top of the line health, dental, and vision insurance
• WFH stipend to support the setup you need
• Events & Offsites – opportunities to connect and celebrate
• Free Lunch – hub locations SF, NYC, Seattle