Sr.DataEngineer(EngineeringOps-Experience)

**ABOUT THE POSITION** 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 Senior Data Engineer – Power BI is a key contributor within Columbia Sportswear’s Global Capability Center (GCC) and Data & Analytics team. This role is primarily focused on designing, building, and supporting Power BI semantic models that enable trusted, high-performance analytics across Commercial, Supply Chain and enterprise business domains. While the role’s core responsibility is Power BI data modeling, the position is intentionally designed to grow into a full stack Data Engineer. Over time, this engineer will deepen hands-on experience across Azure Databricks, data ingestion pipelines, and the enterprise Data Lake, partnering closely with senior engineers and architects to deliver end-to-end data solutions. This role is ideal for an engineer who enjoys working closely with analytics consumers, cares deeply about data model quality and usability, and wants to expand into modern cloud data engineering. **HOW YOU’LL MAKE A DIFFERENCE** **Power BI Semantic Modeling (Primary Focus)** * Design, develop, and maintain Power BI semantic models that support Commercial, Supply Chain and enterprise analytics use cases * Apply strong dimensional modeling principles (facts, dimensions, conformed dimensions) to enable intuitive, high performing ‑self-service‑ analytics * Develop and optimize DAX measures, calculations, and model logic to ensure accuracy, scalability, and performance * Own semantic model troubleshooting, performance tuning, and enhancement requests in partnership with analytics and business stakeholders * Establish and follow best practi