Columbia Sportswear

Apparel and Footwear

Sr.DataEngineer(DeliveryEngineering-DTC)

₹22–35L ~AI est. Bangalore, Karnataka, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Data Engineer (Delivery Engineering - DTC) at Columbia Sportswear. Skills: Power BI, Data modeling, Data engineering. Design Power BI semantic models. Develop Power BI semantic models”

Industry & Context.

Apparel and Footwear
Problems you'll solve

Troubleshooting; Root cause analysis; Performance tuning

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Information Systems, or related technical field, or equivalent practical experience, Proficiency in SQL for analytical workloads, Hands on experience building and supporting Power BI semantic models, Familiarity working with Azure data platforms, Experience integrating data from enterprise source systems

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Design Power BI semantic models

Develop Power BI semantic models

Maintain Power BI semantic models

Apply dimensional modeling principles

Optimize DAX calculations

Own semantic model troubleshooting

Tune semantic model performance

Partner with analytics stakeholders

Partner with business stakeholders

Establish best practices for model design

Follow best practices for naming standards

Follow best practices for measure governance

Follow best practices for reusability

Translate analytical requirements into Power BI models

Advise Power BI report developers

Support data quality investigations

Perform root cause analysis

Build ELT/ETL pipelines

Support ELT/ETL pipelines

Participate in design of analytical datasets

Participate in delivery of analytical datasets

Apply Databricks transformations

Apply Spark transformations

Contribute to data engineering patterns

Participate in Agile delivery

Participate in backlog refinement

Participate in estimation

Participate in sprint execution

Participate in retrospectives

Identify technical risks

Identify improvement opportunities

Escalate issues appropriately

Collaborate within engineering team

How You'll Work.

Team & Collaboration

Analytics consumers; Analytics stakeholders; Business stakeholders; Senior engineers; Architects; Global distributed engineering team; Cross-functional agile teams

Process & Methodology

Agile, Backlog refinement, Estimation, Sprint execution, Retrospectives

Full Job Description

At Columbia, we’re as passionate about the outdoors as you are. And while our gear is available worldwide, we’re proud to be based in the Pacific Northwest, where natural wonders are our playground. Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: “It’s perfect. Now make it better.” As pioneers of relentless improvement, we are constantly evolving. We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest. **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. Success in this position requires strong communication and collaboration skills, i

Free ATS check

Applying for this Sr. Data Engineer (Delivery Engineering - DTC) role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Columbia Sportswear?

Real rants from real employees. Read before you apply.

Read Company Rants →