Although we're an apparel and footwear-focused company, technology is central to everything we do . Columbia Sportswear’s Digital Technology (CDT) group enables an IT infrastructure across four global brands, a global supply chain, and 500+ geographically dispersed stores . These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.
The Principal Data Engineer – BI is a senior technical leader within Columbia Sportswear’s Global Capability Center (GCC) and Data & Analytics organization. This role is accountable for the architecture, governance, and long-term evolution of enterprise Power BI semantic models that power trusted analytics across Commercial, Supply Chain, and enterprise business domains.
T he Principal Data Engineer – BI operates at an enterprise scale—defining modeling standards, performance patterns, and best practices that are adopted across teams. This role serves as the technical authority for BI semantic modeling, ensuring that Power BI models are scalable, performant, intuitive, and aligned with upstream data engineering and downstream analytics needs.
HOW YOU’LL MAKE A DIFFERENCE
Power BI Semantic Modeling (Primary Focus)
Own the enterprise strategy and technical vision for BI semantic models, supporting Commercial, Supply Chain, and corporate analytics use cases.
Establish and enforce enterprise semantic modeling standards, encompassing dimensional modeling, DAX measures and calculation patterns, performance tuning and troubleshooting, and consistent design, naming, documentation, and reusability practices to ensure accurate , scalable, high ‑ performance self ‑ service analytics.
Analytics Enablement & Collaboration
Define and maintain semantic model governance frameworks, including naming standards, metric ownership, certification, and lifecycle management
D ata Engineering & Platform Leadership
Technical Leadership & Ways of Working
Delivery & Ways of Working
Influence Agile delivery planning, processes, including backlog refinement, estimation, sprint execution, and retrospectives
Proactively identify data issues, technical risks, and improvement opportunities, escalating appropriately
This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.
