Under Armour, Inc. Sr. Data Platform Engineer (REMOTE) in Helana, Montana
Sr. Data Platform Engineer (REMOTE)
Date: Oct 8, 2021
Location: City, US
Company: Under Armour
Under Armour has one mission: to make you better. We have a commitment to innovation that lies at the heart of everything we do, not just for our athletes but also for our teammates. As a global organization, our teams around the world push boundaries and think beyond what is expected. Together our teammates are unified by our values and are grounded in our vision to inspire you with performance solutions you never knew you needed but can’t imagine living without.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace. Employees must live in the United States.
At Under Armour, we’re building the data products and services to power the future of our direct to consumer experience as well as other core aspects of our performance brand.
Performing alongside data analytics, data science, and digital marketing teams and across channels such as MapMyFitness and UA.com, we’d like you to join our cross-cutting Data Platform team in building real solutions to centralize, enrich, and activate data across the enterprise. You will learn, grow, and play in an environment that focuses on results and delivery, all backed by one of the strongest consumer brands in history.
We're looking to add a new Data Platform Engineer to our Enterprise Data Management team, which powers the storage, processing, integration and cataloging of our data. In this role, you will work across teams to build pipelines, services, and tools that enable both UA teammates and our integrated systems with the data, information, and knowledge to fulfill Under Armour’s mission to make all athletes better.
Essential Duties & Responsibilities
In this role, you will…
Design and build data products and data flows for the continued expansion of the data platform mission; deployed code is performant, well-styled, validated, and documented.
Implement data platform architectural designs/approaches.
Instrument and monitor the systems and products of the data platform.
Design, build, integrate, and maintain data ingestion pipelines from 3rd Party source systems and or data providers
Lead one or two medium or large projects at a time.
Design and integrate data replication solutions from various UA enterprise or other back end services to the Data Platform.
Design, build, integrate, and maintain data ingestion pipelines from offline sources, to include various 3rd Party services, to the Data Platform.
Support data catalog initiatives and adoption across the Data Platform user community.
Support data cleansing and data quality initiatives across the Data Platform for its foundational data.
Support identity resolution initiatives across the Data Platform.
Projects you could work on…
Centralize enterprise as well as consumer data into a single data platform to power our organizational mission for data enablement where analysts, data scientists, and other end-user teammates as well as systems share data, tools and processes to succeed at their mission.
Continue to innovate our data platform as privacy regulations rapidly evolve across the globe as we continue to manage and respect the data of our consumers through our systems' landscape.
Convert to stream processing where possible, upgrade infrastructure/ environment for batch processes to continue to bolster performance and reliability to win on the end-user experience.
Enable self-service tooling for analytics teams to publish data into our platform: grow our community of practice for data at UA by facilitating discoverability and sharing of data products across the enterprise.
Qualifications (Knowledge, Skills & Abilities)
Knowledge of security and privacy 'by design’ frameworks
Knowledge of data science lifecycle.
Strong programming experience in SQL
Strong programming experience in Python
Familiarity with Snowflake
Familiarity with Airflow
Experience with AWS data-related products such as EMR, Glue, S3, Lambda
Education And / Or Experience
Have a solid understanding of data engineering fundamentals (design patterns, common practices) and what it takes to build high-volume data products and services. You likely have a degree in Computer Science, Mathematics, Statistics or similar or equivalent real-world experience.
3+ years of data and/or software engineering experience
Are ready to take ownership and responsibility for your work
Enjoy working with emerging technologies
- No relocation provided
At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.