Lead, Solutions Architect - Data Analytics Engineering

Lead, Solutions Architect - Data Analytics Engineering

** 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. ((Use the "Apply for this Job" box below). company=ua& s.crb=aNMP8g Wo Yk BDFn%252bz2

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** 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 Data Ops 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 scale repeatable engineering patterns.

** Qualifications*
* + Expert SQL abilities with mastery in complex data transformation and optimization techniques.

+ Deep expertise in data modeling, ELT architecture, and enterprise data ecosystems.

+ Proven ability to design and lead scalable data apps, automation pipelines, and decision intelligence solutions.

+ Strong proficiency with Tableau or similar analytics platforms.

+ Production level dbt expertise (modularity, testing, documentation, governance).

+ Strong background in CI/CD engineering, release management, and Dev Ops integration.

+ Advanced Snowflake engineering skills: VWH tuning, RBAC, cost/performance engineering, workload optimization, semantic layer design.

+ Advanced Python for automation, orchestration, and workflow…