Lead, Solutions Architect - Data Analytics Engineering
About The Position
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, this role leads engineers in high-performance ELT architectures, oversees CI/CD and production reliability, and mentors engineering talent across squads.
Requirements
- 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 DevOps integration.
- Advanced Snowflake engineering skills: VWH tuning, RBAC, cost/performance engineering, workload optimization, semantic layer design.
- Advanced Python for automation, orchestration, and workflow engineering.
- Experience with automation platforms such as Elementum.
- Strong architectural influence, cross-functional communication, and engineering leadership.
- Ability to leverage Generative AI tools responsibly to improve engineering productivity and design quality.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
- 7+ years in Data Engineering, Analytics Engineering, or Decision product development.
- 6+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
- 5+ Years of experience in DBT or similar data transformation/data orchestration tool.
- 5+ Years of experience with Tableau, Power BI or similar analytics platforms.
- 5+ Years of experience & strong background in CI/CD engineering best practice.
Nice To Haves
- Professional dbt/Snowflake certifications
- SAP ERP domain knowledge
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Partner with Product & Engineering leads to shape roadmap priorities, standards, and long-term technical vision.
- Deliver executive-level presentations on architecture decisions, design tradeoffs, and product strategies.
- 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.
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
