Columbia Sportswear
Apparel and Footwear
PrincipalDataEngineer(DeliveryEngineering-DTC)
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“Principal Data Engineer (Delivery Engineering - DTC) at Columbia Sportswear. Skills: Data Engineering, Data Warehousing, Azure Data Services, SQL. Design enterprise data assets. Develop enterprise data assets”
Industry & Context.
Solve complex technical problems
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science or equivalent, 8+ years of experience engineering, architecting, developing, and optimizing large-scale data and analytics solutions, Expert-level proficiency in SQL development and query optimization, Deep understanding of database and data modeling concepts, Knowledge of dimensional modeling and enterprise data warehousing techniques, Hands-on experience implementing and maintaining star schemas, 4+ years professional experience building and supporting ETL/ELT solutions, 4+ years experience developing and supporting data visualization and analytical solutions, Familiarity with data domains common to Commercial and Supply Chain environments, Experience working with large-scale or distributed data processing technologies, Hands-on experience with Microsoft Azure data services, Advanced DAX skills, Proficiency in Python, PowerShell, R, or Java
Nice to Have
Experience with Azure cloud ecosystem strongly preferred, Experience with AI/ML engineering, Experience with automation agents, Experience with generative AI capabilities, Experience with MLOps practices
What You'll Do.
Design enterprise data assets
Develop enterprise data assets
Test enterprise data assets
Maintain enterprise data assets
Support enterprise data assets
Drive high-quality engineering practice
Improve environment design
Enhance user experience
Lead dimensional modeling activities
Develop stored procedures
Support integration services
Deliver enterprise data assets
Enhance enterprise data assets
Optimize enterprise data assets
Ensure solutions are scalable
Ensure solutions are reliable
Align with modern engineering standards
Design end-to-end data management solutions
Build end-to-end data management solutions
Test end-to-end data management solutions
Maintain end-to-end data management solutions
Apply solution design principles
Apply reusable design patterns
Apply industry-standard data modeling techniques
Identify project risks
Communicate project risks
Identify technical impediments
Communicate technical impediments
Partner to ensure timely resolution
Ensure successful delivery
Apply Agile ways of working
Iteratively refine requirements
Define acceptance criteria
Plan development activities
Deliver enterprise data solutions
Serve as technical representative
Collaborate with architecture partners
Evaluate solution options
Recommend design patterns
Ensure alignment with enterprise architecture principles
Solve complex technical problems
Drive improvements in engineering practices
Drive improvements in data quality
Drive improvements in performance
Drive improvements in maintainability
Provide technical guidance
Provide best-practice leadership
Elevate engineering capability
How You'll Work.
Team & Collaboration
Offshore scrum team; Senior leadership; Enterprise support organizations; CSC end users; Cross-functional team members; Architecture partners
Process & Methodology
Agile ways of working
Full Job Description
**P OSITION SUMMARY** 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 is responsible for the design, development, testing, maintenance, and supporting of CSC's enterprise data assets. Dedicated to a single offshore scrum team within our Global Capability Center (GCC), this role serves as a technical authority who drives high-quality engineering practice across the analytic environment for CSC's D&A program. The Principal Data Engineer enables improvements in environment design, efficiency, controls, and the overall user experience of enterprise data assets at CSC. This position leads activities including dimensional modeling, approaches, SQL script creation, stored procedure development, data lake and databricks development, integration services support, and DevOps aligned practices to enhance reliability, efficiency, and overall user experience of enterprise data solutions. The Principal Data Engineer coordinates with senior leadership, several enterprise support organizations and CSC end users. **HOW YOU’LL MAKE A DIFFERENCE** * Continuously deliver, enhance, and optimize high-priority enterprise data assets that power Columbia’s global analytics, reporting and visualization capabilities, ensuring solutions are scalable, reliable, and aligned with modern engineering standards. * Design, build, test, and maintain end-to-end data management solutions across Columbia’s global data lake and databricks environment, applying strong solution design principles, reusable design patterns, and industry-standard data modeling techniques such as Kimball, Inmon, and relational/OLTP approaches. * Identif
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