Job description

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 the Internal Career Site Here. Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. Your Impact Data Engineering & Architecture: • Lead data model design, semantic layer definition, and scalable ELT architecture. • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions. • Build high-quality analytical datasets and visualization-optimized data structures. Quality, CI/CD & Operational Excellence: • Own CI/CD deployment pipelines and release management processes. • Drive engineering best practices include testing, observability, modular modeling, and documentation. • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design. • Lead root-cause analysis and long-term fixes for complex data issues. Leadership & Collaboration: • Mentor junior engineers and uplift engineering maturity across squads. • Facilitate stakeholder sessions to translate business requirements into scalable data products. • Influence architectural decisions and emerging-technology adoption. • Partners across EDMA, AI/Automation, Platform, and Governance teams. • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions. AI Enablement: • Apply Generative AI tools to streamline development workflows and enhance product quality. • Contribute to the design of AI-enabled automation solutions. Qualifications • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree. • Expert SQL abilities with mastery in complex data transformation patterns. • Deep expertise in data modeling, ELT design, and enterprise data architecture. • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions. • 4+ Years of experience with Tableau or similar analytics platforms. • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent. • 2+ Years of experience & strong background in CI/CD engineering best practice. • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design). • Advanced Python for automation, orchestration, and engineering workflows. • Working knowledge of automation tools (e.g., Elementum). • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption. • Generative AI applies responsibly to accelerate development and improve quality. • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code). • Skilled at bridging the gap between technical depth and business clarity through impactful communication. Workplace Location • Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams) • Work Schedule: Fully Remote • Travel: Minimal • Licenses/Certifications: N/A • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time. #LI-SA1 #REMOTE #HYBRID Relocation • No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package. 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.

Requirements

Must-haves

Values & Innovation
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.
If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here.
Purpose of Role
Lead data model design, semantic layer definition, and scalable ELT architecture.
Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.
Build high-quality analytical datasets and visualization-optimized data structures.
Own CI/CD deployment pipelines and release management processes.
Drive engineering best practices include testing, observability, modular modeling, and documentation.
Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.
Lead root-cause analysis and long-term fixes for complex data issues.
Mentor junior engineers and uplift engineering maturity across squads.
Facilitate stakeholder sessions to translate business requirements into scalable data products.
Influence architectural decisions and emerging-technology adoption.
Partners across EDMA, AI/Automation, Platform, and Governance teams.
Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions.
Apply Generative AI tools to streamline development workflows and enhance product quality.
Contribute to the design of AI-enabled automation solutions.
Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
Expert SQL abilities with mastery in complex data transformation patterns.
Deep expertise in data modeling, ELT design, and enterprise data architecture.
Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
4+ Years of experience with Tableau or similar analytics platforms.

Nice-to-haves

Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams)

Application prep

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Keywords to mirror

goaici/cdsqlpython

Platform: successfactors-unify
Effort: medium

Benefits

Benefits detected in the listing.

401(K)

Parental Leave