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 and applications 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 Sr. Data Operations Engineer is a member of the Data & Analytics team that is responsible for data and business intelligence design, development and testing of new capabilities/enhancements to existing solutions that meet CSC's business needs within an Agile environment. The Sr. Data Operations Engineer is responsible for investigating, documenting, and resolving production issues affecting enterprise data assets. The Sr. Data Operations Engineer will provide Tier 1 and 2 support to enterprise data assets and systems across D&A team, including critical processes and job failures. Responsibility to be on call rotation with offshore supporting during off hours. The Sr. Data Operations Engineer will work with fellow BI Engineers onsite and offshore. The Sr. Data Operations Engineer will also work closely with several enterprise support organizations and Columbia users in addition to the D&A team. Work independently and acts as a resource for co-workers with less experience.
HOW YOU’LL MAKE A DIFFERENCE
Provide Tier 1 and Tier 2 support to enterprise data assets and systems across the D&A team, including triage and resolution of pipeline failures, job errors, and data quality issues for solutions within the D&A environment spanning Azure, SAP BW/HANA, and BI platforms
Investigate, document, and escalate production issues affecting enterprise data assets, building toward independent Tier 3 resolution capability over time
Bachelor’s degree in computer science , Engineering, or a related field , or equivalent demonstrable experience
4+ years of experience in data operations, data engineering, or BI support roles, with at least 2 years in a Tier 2 production support capacity
Hands-on experience with core Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.
