Columbia Sportswear
Apparel and Footwear
PrincipalDataEngineer(DeliveryEngineeringDTC)
“Principal Data Engineer (Delivery Engineering - DTC) at Columbia Sportswear. Skills: Data Engineering, Data Warehousing, ETL/ELT, Azure Data Services. Design enterprise data assets. Develop enterprise data assets”
Industry & Context.
Root cause analysis
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, automation agents, generative AI capabilities, or 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
Enhance environment design
Enhance user experience
Lead dimensional modeling activities
Develop stored procedures
Develop data lake solutions
Develop databricks solutions
Support integration services
Coordinate with senior leadership
Coordinate with enterprise support organizations
Coordinate with CSC end users
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
Partner to ensure successful delivery
Apply Agile ways of working
Iteratively refine requirements
Define acceptance criteria
Plan development activities
Deliver high-quality 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
Elevate engineering capability
How You'll Work.
Team & Collaboration
Offshore scrum team; Cross-functional team members; Architecture partners
Process & Methodology
Agile
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