Sr. Data Analytics Engineer
About The Position
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.
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.
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.
Benefits
- Paid "UA Give Back" Volunteer Days
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
