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Sr. Professional, Data Engineering

Sr. Professional, Data Engineering

Under ArmourAustin, TX, United States
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Sr. Professional, Data Engineering

Sr. Professional, Data Engineering

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on theInternal Career Site Here. ()

Purpose of Role

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 Sr. Data Platform Engineer to join 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.

Your Impact

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.

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.

Other data engineering duties as assigned.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or in closely related technical field followed by 5 years of progressively responsible data and / or software engineering experience OR master's degree in Computer Science, Information Systems, or in closely related technical field and 3 years of progressively responsible data and / or software engineering experience.

Experience MUST include :

2 years of experience with each of the following :

Data engineering fundamentals (design patterns, common practices)

Building high volume data products and services

Security and privacy 'by design' frameworks

Data science lifecycle

Programming in SQL

Programming in Python

Snowflake

Demonstrated knowledge

  • of the following :
  • Job Orchestration Tools such as Airflow or similar tools

    AWS data-related products such as EMR, Glue, S3, and / or Lambda

    Workplace Location

    Location : 101 Performance Drive, Baltimore, MD 21230

    Work Schedule : 100% remote; may be performed from anywhere in the US.

    Relocation

  • No relocation provided
  • #LI-DNP

    #LI-DNI

    Base Compensation

    SALARY RANGE : $148,845 to $188,089 / year

    Benefits & Perks

    Paid "UA Give Back" Volunteer Days : Work alongside your team to support initiatives in your local community

    Under Armour Merchandise Discounts

    Competitive 401(k) plan matching

    Maternity and Parental Leave for eligible and FMLA-eligible teammates

    Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

    Our Commitment to Equal Opportunity

    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 or belief, 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, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.

    Requisition ID : 162989

    Location : Remote, US

    Business Unit : Corporate

    Region : North America

    Employee Class : Full Time

    Employment Type : Salaried

    Learn more about our Benefits here

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