Columbia Sportswear
Apparel and Footwear
Sr.DataEngineer(DeliveryEngineering-DTC)
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“Sr. Data Engineer (Delivery Engineering - DTC) at Columbia Sportswear. Skills: Power BI, Data modeling, Data engineering, Azure Databricks. Design Power BI semantic models. Develop Power BI semantic models”
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, SQL proficiency, Experience building Power BI semantic models, Experience with star schemas, Experience with dimensional models, Experience with measures, Experience with calculated columns, Experience with KPIs, Basic to intermediate DAX, Solid understanding of data warehousing, Solid understanding of dimensional modeling, Experience supporting self-service analytics, Experience resolving semantic issues, Experience resolving data model issues, Familiarity with Azure data platforms, Experience integrating data from enterprise source systems
Nice to Have
Deeper experience with Databricks, Deeper experience with Spark, Deeper experience with Delta Lake, Advanced DAX optimization, Advanced performance tuning, Exposure to data ingestion frameworks, Exposure to orchestration, Exposure to cloud scale ELT patterns, Experience in a Global Capability Center, Experience in a distributed Agile team
What You'll Do.
Design Power BI semantic models
Develop Power BI semantic models
Maintain Power BI semantic models
Apply dimensional modeling principles
Develop DAX calculations
Optimize DAX measures
Optimize DAX calculations
Own semantic model troubleshooting
Own performance tuning
Own enhancement requests
Establish best practices
Follow best practices
Partner with analysts
Partner with product teams
Translate analytical requirements
Advise Power BI report developers
Support data quality investigations
Support root cause analysis
Build ELT/ETL pipelines
Support ELT/ETL pipelines
Participate in design
Participate in delivery
Contribute to data engineering patterns
Participate in backlog refinement
Participate in estimation
Participate in sprint execution
Participate in retrospectives
Identify technical risks
Identify improvement opportunities
Escalate appropriately
Collaborate effectively
How You'll Work.
Team & Collaboration
Analytics consumers; Analytics stakeholders; Analytics teams; Product teams; Global distributed engineering team; Agile delivery processes
Process & Methodology
Agile delivery processes
Full Job Description
**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
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