Sr. Data Analytics Engineer

Global Sports Jobs Limited; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Volunteer days

Merchandise discounts

401(k) matching

Parental leave

Health & fitness benefits

Job summary

Under Armour is seeking a Sr. Data Analytics Engineer to join the Enterprise Data Management & Analytics team. You will design scalable data pipelines, develop high-quality data models, and enable AI-enabled automation across regions.

You will mentor engineers and influence architectural direction while collaborating with Analytics, AI, Platform, and Governance teams. The role emphasizes on-call support, production reliability, and applying Generative AI to accelerate development and improve

Qualifications

• Bachelor's or Master’s degree with relevant experience in data analytics and engineering.
• Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
• Expert SQL and data transformation pattern mastery.
• Experience with Tableau or similar analytics platforms and dbt.

Responsibilities

• Design and deliver data models, ELT architectures, automation workflows, and decision-intelligence solutions.
• Build analytical datasets and visualization-optimized data structures.
• Own CI/CD deployment pipelines, testing, and documentation.
• Optimize Snowflake warehouse performance, RBAC, and semantic layer design.
• Lead root-cause analysis and long-term fixes for data issues.
• Mentor junior engineers and influence architectural direction.
• Translate business requirements into scalable data products with stakeholders.

Skills

SQL

Data modelling

Python

CI/CD

Generative AI

Communication

Education

Bachelor's degree

Master's degree

Tools

Tableau

dbt

Snowflake

GitHub Copilot

Elementum

CI/CD tooling

Job description

About the Role

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join its Enterprise Data Management & Analytics team. The role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. The Senior Data Engineer will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. They will lead complex programs, mentor junior engineers, and influence architectural direction while partnering with Analytics, Automation & AI, and Governance teams.

Key Responsibilities

• Design and deliver data models, ELT architecture, automation workflows, and decision-intelligence solutions.
• Build high-quality analytical datasets and visualisation-optimised data structures.
• Own CI/CD deployment pipelines, release management processes, testing, observability, modular modelling, and documentation.
• Optimise 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, uplift engineering maturity, and influence architectural decisions and emerging-technology adoption.
• Facilitate stakeholder sessions to translate business requirements into scalable data products.
• Partner across EDMA, AI/Automation, Platform, and Governance teams.
• Take responsibility 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, enhance product quality, and contribute to the design of AI-enabled automation solutions.

Required Experience & 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 modelling, 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 modelling, testing, documentation, governance) or equivalent.
• 2+ years of experience and a strong background in CI/CD engineering best practice.
• 5+ years of Snowflake experience (virtual warehouse optimisation, 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.
• Ability to apply Generative AI 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

• Remote (East Coast strongly preferred to optimise collaboration with HQ and cross-functional teams)
• Fully remote work schedule
• Minimal travel
• No relocation provided
• UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

Benefits & Perks

• Paid 'UA Give Back' Volunteer Days to support initiatives in the 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, including programmes to promote physical activity and overall well-being

About the Company

Under Armour is committed to empowering those who strive for more, with values – Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality – serving as a roadmap for teams and the qualities expected of every teammate. The company's pursuit of better begins with innovation and its team's mission of being the best, giving teammates the freedom to go further no matter their role. This means developing, delivering, and selling state-of-the-art products and digital tools that make top performers even better.