Sr. Lead Enterprise Architect - Application, AI... @ Under Armour
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About Under Armour
At Under Armour, our values drive us: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality. We empower our team to innovate and deliver state-of-the-art products and digital tools for top performers.
Purpose of Role
The Enterprise Architecture team ensures architectural roadmaps align with business strategies. As a Sr. Lead Enterprise Architect - Application, AI & EDMA, you will ensure the application portfolio meets business needs, adheres to enterprise standards, and follows industry best practices. You will produce documentation for applications, projects, processes, governance, integration patterns and partner with technical leaders to drive innovation.
Your Impact
- Design scalable, secure, high-performance solutions.
- Develop technical architectures and roadmap diagrams.
- Guide multi-horizon roadmaps aligned to business strategy.
- Mentor engineers in modern architecture practices.
- Translate business requirements into technical specifications.
Qualifications
A bachelor’s degree with 10 years experience or equivalent advanced experience is required. Expertise in data architecture, SQL, YAML, semantic layers, MDM, cloud platforms (Snowflake, DBT, FiveTran, Airflow), and data visualization tools (Tableau, Power BI, Looker) is essential. You must be experienced in AI/ML design with Python, Swift, and SwiftUI along with enterprise architecture frameworks like TOGAF.
Workplace & Benefits
This is a fully remote role with occasional travel to regional offices, conferences, and trainings. Benefits include volunteer days, Under Armour merchandise discounts, competitive 401(k) matching, family leave benefits, and comprehensive health & wellness perks.
Key Skills/Competency
- Enterprise Architecture
- AI/ML
- EDMA
- TOGAF
- Data Architecture
- Cloud Platforms
- Security
- Prototyping
- Technical Documentation
- Stakeholder Alignment
How to Get Hired at Under Armour
🎯 Tips for Getting Hired
- Tailor your resume: Highlight enterprise architecture and AI expertise.
- Research Under Armour: Understand company values and innovations.
- Showcase relevant projects: Include data and cloud experience.
- Prepare for interviews: Emphasize technical and strategic insights.