Remote Data Analytics Architect & Platform Lead

Under Armour, Inc.; Helena (MT); Remote; USD 125,000 - 165,000; Full time

Benefits offered by this job

Paid volunteer days

UA merchandise discounts

401(k) plan matching

Maternity and parental leave

Health & fitness benefits

Job summary

Under Armour, Inc. is seeking a Lead Solutions Architect for Data Analytics Engineering to govern scalable ELT architectures and enterprise data products.

You will lead cross‑functional teams, drive modernization of the data platform, and mentor engineers while delivering high‑impact analytics and governance across the organization. The role requires deep expertise in SQL, data modeling, Snowflake, dbt, and CI/CD, and offers remote work with East Coast preference.

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 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.
• Preferred: 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.
• 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.
• 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.

Skills

SQL expertise

Data modeling

Architecture leadership

Tableau / BI

dbt expertise

CI/CD engineering

Snowflake engineering

Python

Elementum

Generative AI

Education

Bachelor's/Master's in CS or related

Tools

Snowflake

dbt

Tableau

Power BI

CI/CD tools

Elementum

Job description

Under Armour, Inc. is seeking a Lead Solutions Architect for Data Analytics Engineering to govern scalable ELT architectures and enterprise data products.

You will lead cross‑functional teams, drive modernization of the data platform, and mentor engineers while delivering high‑impact analytics and governance across the organization. The role requires deep expertise in SQL, data modeling, Snowflake, dbt, and CI/CD, and offers remote work with East Coast preference.