Sr Platform Engineer
OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.
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.
And we believe in you.
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 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 Platform Engineer is a member of the Data & Analytics (D&A) Platform and Architecture team responsible for the design, development, testing, maintenance, and support of CSC's Enterprise Data Platform. Working on a dedicated scrum team, the Sr. Data Platform Engineer will provide technical and architectural design, as well as development and analytical support for CSC's D&A platform.
The Sr. Data Platform Engineer must have demonstrable big data experience with cloud computing in order to help the D&A team deliver high-quality, first-class reporting to customers. A skillset that includes data architecture and system design is a must.
The Sr. Data Platform Engineer will have strong communication skills as well as the ability to work effectively with technical teams across information technology (IT) groups.
HOW YOU’LL MAKE A DIFFERENCE
As a Senior Data Platform Engineer on our Data & Analytics (D&A) Platform and Architecture team, you'll contribute to the development, optimization, and ongoing evolution of CSC's enterprise data platform - a governed lakehouse built on Azure, Databricks, and Delta Lake, running at global scale.
Your responsibilities will include:
- Developing and maintaining data infrastructure pipelines, frameworks, and platform tooling within the established architecture.
- Design, build, and maintain scalable data platforms using Databricks, Data Lake, Data Factory, and Data Warehouse.
- Collaborating with senior and principal engineers on integration patterns across ingestion, transformation, and consumption layers.
- In-depth knowledge of Azure Key Vault and security best practices.
- Experience with Unity Catalog and managing multiple workspaces.
- Implement and manage CI/CD pipelines using GitHub and Terraform.
- Identifying and resolving performance issues in pipelines and queries.
- Participating in scrum ceremonies and delivering reliably within an agile team.
- Supporting and mentoring more junior engineers as you grow into the role.
- Communicating effectively with cross-functional stakeholders across time zones.
- Availability to participate in an on-call rotation for production support coverage
YOU ARE
- A strong advocate and contributor to modern architecture, Cloud strategy, quality engineering practices and implementation.
- A team player that contributes to a positive team environment; work with others at all levels to create innovative solutions.
- An analytic thinker and problem solver who enjoys diving into problems and finding creative solutions.
- Able to envision a strategy, communicate and promote, and then dive in to help others achieve the vision.
- Highly structured with the ability to organize others around you.
YOU HAVE
- 5+ years of experience in data engineering or data platform roles, with at least 3 years working in a cloud environment (Azure preferred).
- Solid hands-on experience with Apache Spark and PySpark.
- Strong SQL skills and comfort with query optimization.
- Working experience with Databricks and Delta Lake.
- Familiarity with Azure Data Factory or comparable pipeline/orchestration tooling.
- Good communication skills and ability to work collaboratively in a global team.
- Comfort operating with a degree of autonomy in a distributed, cross-time zone environment.
- Bachelor's degree in computer science, Engineering, or a related field, or equivalent demonstrable experience.
- Exposure to Unity Catalog, medallion architecture, or enterprise data governance concepts.
- Familiarity with infrastructure-as-code tooling (Terraform or equivalent).
- Experience with enterprise scheduling platforms (e.g., Tidal).
- Exposure to BI platforms such as Power BI at the data layer.
WHY JOIN US
Opportunity to shape Columbia’s global analytics landscape. Lead and grow a talented GCC Engineering team with significant enterprise-wide impact. Work with modern cloud technologies and influence emerging technologies. Make your mark on a global brand committed to innovation, sustainability, and continuous improvement. Competitive compensation, comprehensive benefits, and global career development opportunities. Career growth and development.
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.