Lead, Solutions Architect - Data Analytics 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 the Internal Career Site Here.   Purpose of Role

Under Armour is seeking a seasoned Lead Solutions Architect, Data Analytics Engineering, to govern, and deliver modern data and analytics platforms that power strategic decision-making across the organization. This role plays a critical part as a technical lead within EDMA responsible for architecting enterprise scale data products, defining engineering and modeling standards, and driving modernization across the Data Analytics/Decision Products ecosystem. This role leads complex cross functional programs, establishes Data Engineering best practices, and partners closely with Data Engineering, Automation & AI, Analysts, and Data Governance leadership to shape the roadmap and technical direction. As a hands on technical authority, lead engineers high performance ELT architectures, oversees CI/CD and production reliability, and mentors engineering talent across squads. Your Impact

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  Enterprise Data Architecture & Engineering Leadership

Design and govern scalable ELT architectures, including advanced dbt modeling frameworks. Lead the development of large, complex data pipelines, automation workflows, and decision intelligence solutions. Own the end to end lifecycle of enterprise grade decision products used across functions. Define and enforce architecture standards, modeling patterns, semantic layer principles, and engineering best practices. Drive data platform modernization efforts, including migration, optimization, and adoption of emerging technologies.

Snowflake & Data Platform Excellence

Serve as the technical authority on Snowflake performance tuning, VWH optimization, RBAC frameworks, query efficiency, and cost engineering. Lead modeling patterns, data sharing strategies, and enterprise semantic layer design.

Quality, CI/CD & Operational Reliability

Own significant components of the CI/CD pipeline, ensuring high reliability, automated testing, and governance. Establish DataOps best practices across squads, including observability, monitoring, alerting, and versioning standards. Oversee release management, change management processes, and production stability for decision products.

Leadership, Mentorship & Cross Functional Influence

Mentor junior level engineers; drive engineering maturity through code reviews, design reviews, and technical coaching. Facilitate complex stakeholder sessions to align business requirements, architecture decisions, and delivery plans. Lead cross functional data programs spanning Product, Platform, Automation, AI, Governance, and Analytics. Partners with Product & Engineering lead to shape roadmap priorities, standards, and long term technical vision. Deliver executive level presentations on architecture decisions, design tradeoffs, and product strategies.

Automation & AI Enablement

Build or integrate advanced automation frameworks supporting high scale operational workflows. Apply Generative AI to streamline development, improve design standards, and