Sr. Data Analytics Engineer Job Details | Under Armour

Under Armour is seeking a Senior Data Analytics Engineer for its Enterprise Data Management & Analytics team. The role builds scalable data transformation frameworks, data products, analytics pipelines, and models to support decision intelligence, automation, and AI use cases. It also leads complex programs, mentors engineers, and collaborates across analytics, AI, platform, and governance teams.

Responsibilities:

• 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

Requirements:

• 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