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Data Warehouse Engineer
Job in
Draper, Salt Lake County, Utah, 84020, USA
Listed on 2026-07-21
Listing for:
PVH (Tommy Hilfiger/Calvin Klein)
Full Time
position Listed on 2026-07-21
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Join BILL as a Staff Data Warehouse Engineer and help build the trusted data backbone that powers decision-making across Finance, Product and Go-to-Market. You will be a senior technical owner on the Data Operations & Enablement team, designing and delivering end-to-end pipelines and warehouse architecture that become the single source of truth for the business.
Responsibilities- Own end-to-end delivery of pipelines and warehouse architecture, from design through production, for new builds, migrations and re‑platforming efforts.
- Administer and harden the data warehouse, including schema design, performance tuning, stability and cost‑aware optimization.
- Embed data quality and governance into pipelines by default – testing, documentation, lineage – not as an afterthought.
- Translate ambiguous business requirements into clear technical designs; scope trade‑offs and dependencies with cross‑functional stakeholders.
- Define and codify simple, stable, repeatable engineering standards and patterns adopted by the broader team.
- Mentor engineers through design reviews, code reviews and hands‑on guidance to raise the technical bar.
- Evaluate and introduce tools or architecture patterns that materially improve scale, reliability or cost and be able to justify and explain the rationale.
- Design the warehouse to be queried by AI agents, not just people – structure models, naming conventions and metadata so natural‑language querying returns correct results, and author skill files that let AI tools query the warehouse safely and accurately.
- 8+ years of experience in data engineering or combined software/data engineering roles, with a track record of owning significant warehouse builds end-to-end.
- Expert‑level SQL (multiple dialects) and strong Python, with examples of production‑grade applications beyond ad‑hoc scripts.
- Deep knowledge of ETL/ELT design, ingestion methods and orchestration (e.g., dbt, Airflow or equivalents).
- Hands‑on experience with modern lakehouse/warehouse platforms (e.g., Snowflake, Trino/Starburst or similar) and an understanding of engine trade‑offs.
- Experience in financial services and/or SaaS environments.
- Comfort operating with minimal Dev Ops/IT support on core database and warehouse administration.
- Proven mentorship and standards‑setting experience; formal management not required.
Visa Sponsorship:
This position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.
The role is also eligible for a competitive benefits package that includes medical, dental, vision, life and disability insurance, a 401(k) retirement plan and other standard benefits.
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