Sr. Data Engineer (Engineering Ops Experience)
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Job Summary
ABOUT THE POSITION
Althoughwerean apparel andfootwear-focusedcompany technology is central to everything we do.Columbia SportswearsDigital Technology (CDT)groupenablesan 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 contributorwithinColumbia Sportswears Global Capability Center (GCC) andData& Analytics team. This role is primarily focused on designing building and supporting Power BI semantic models that enable trustedhigh-performanceanalytics acrossCommercialSupply Chain and enterprise business domains.
While the roles core responsibility is Power BI data modeling the position is intentionally designed to grow into afullstackData Engineer. Over time this engineer will deepenhands-onexperience across Azure Databricks data ingestion pipelines and the enterprise Data Lake partnering closely with senior engineers and architects to deliverend-to-enddata solutions.
This role is ideal for an engineer who enjoys workingcloselywithanalytics consumers cares deeply about data model quality and usability and wants to expand into modern cloud data engineering.
HOW YOULL MAKE A DIFFERENCE
Power BI Semantic Modeling (Primary Focus)
Design develop andmaintainPower BI semantic models that supportCommercialSupply Chain and enterprise analytics use cases
Apply strong dimensional modeling principles (facts dimensions conformed dimensions) to enable intuitivehigh performingself-serviceanalytics
Develop andoptimizeDAX 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 practices for model design naming standards measure governance and reusability
Analytics Enablement & Collaboration
Partner closely with analysts and product teams to translate analytical requirements intowell-structuredPower BI models
Advise Power BI report developers on model usage performance considerations and platform capabilities (without building reports)
Support data quality investigations and root cause analysis across semantic warehouse and source data layers
Data Engineering (Growth Path)
Build and support ELT/ETL pipelines that feed Power BI semantic models using Azure Databricks Azure Data Factory and the Enterprise Data Lake
Participate in the design and delivery of curated analytical datasets and star schemasoptimizedfor BI workloads
Learn and apply Databricks and Spark-based data transformations expanding capability as afull stackdata engineer
Contribute to scalable data engineering patterns while guided by senior engineers and architectural standards
Delivery & Ways of Working
Participate fully in Agile delivery processes including backlog refinement estimation sprint execution and retrospectives
Proactivelyidentifydata issues technical risks and improvement opportunities escalating appropriately
Collaborate effectively within a global distributed engineering team
YOU ARE
Passionate about Power BI data modeling and analytical usability
Comfortable working close to the business whilemaintainingengineering rigor
Curious and motivated to grow beyond BI into modern data engineering
A collaborative team member who values quality clarity and continuous improvement
YOU HAVE
Required Qualifications
Bachelors degree in Computer Science Information Systems or a related technical field or equivalent practical experience
Strongproficiencyin SQL for analytical workloads including query optimization and data validation
Hands on experience building and supporting Power BI semantic models including:
Star schemas and dimensional models
Measures calculated columns and KPIs
Basic to intermediate DAX
Solid understanding of data warehousing and dimensional modeling concepts including SCDs and common BI patterns
Experience supportingself-serviceanalytics and resolving semantic or data model related issues
Familiarity working with Azure data platforms such as Azure Data Lake Azure Databricks Azure Data Factory or similar tools
Experience integrating data from enterprise source systems (e.g.DTCSupply Chain ERP SAP or similar domains)
Nice to Have / Growth Areas
Deeper experience with Databricks Spark or Delta Lake
Advanced DAX optimization and performance tuning
Exposure to data ingestion frameworks orchestration or cloud scale ELT patterns
Experienceoperatingin a Global Capability Center (GCC) or distributed Agile team
#LI-SA1
#Hybrid
This job description is not meant to be an all-inclusive list of duties and responsibilities but constitutes a general definition of the positions scope and function in the company.
Required Experience:
Senior IC
About Company
Founded in 1938, Columbia brand apparel, footwear, accessories, equipment, and employees have earned a global reputation for innovation, quality and performance, keeping activity enthusiasts and explorers in more than 100 countries, warm, dry, cool and protected year-round. Columbia S ... View more
