Staff Data Warehouse Engineer

About the Role

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.

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.

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.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

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.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy