Staff Data Warehouse Engineer

Together AI • San Francisco, CA

1d • $240,000 - $275,000

About The Position

Together AI is building high-performance inference compute and the software platform around it. We’re looking for a Staff Data Warehouse Engineer with strong fundamentals and high growth potential to evolve into a technical lead. You’ll design and operate the warehouse from bronze → silver → gold, own core data models and metrics, and raise the bar on data quality and governance across the org.

Requirements

• Strong warehouse fundamentals and production experience delivering trusted datasets and metrics.
• Expert SQL (window functions, dimensional modeling, performance tuning).
• Hands-on with dbt (models, tests, docs, snapshots, macros) and Airflow (DAG design, backfills, reliability).
• Solid Python for data tooling and automation; experience with Spark (PySpark/SQL) is a plus.
• Practical experience with SCD2, star schemas, and handling slowly changing business entities.
• Strong stakeholder management: you can drive alignment on definitions, tradeoffs, and delivery timelines.
• High standards for data quality, reliability, and maintainability.

Responsibilities

• Architect and operate a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Lead Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement and automate data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Establish data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
• Mentor engineers and contribute to standards (code review, design docs, runbooks), paving the path to tech lead.

Benefits

• We offer competitive compensation, startup equity, health insurance and other competitive benefits.
• The US base salary range for this full-time position is: $240,000 - $275,000 + equity + benefits.
• Our salary ranges are determined by location, level and role.
• Individual compensation will be determined by experience, skills, and job-related knowledge.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed