Sr. Data Analytics Engineer

Under Armour

$125K — $165K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree with 5+ years of relevant experience or Master's with 3+ years, or 9+ years without a degree.
  • Expert SQL skills with mastery in complex data transformation.
  • Deep knowledge in data modeling and ELT design.
  • Proven record in designing scalable data applications and automation pipelines.
  • 4+ years of experience with Tableau or similar analytics tools.
  • 5+ years of dbt (data build tool) experience.
  • 2+ years of CI/CD engineering experience with strong best practices.
  • 5+ years of experience with Snowflake, focusing on performance and cost optimization.
  • Advanced skills in Python for automation and orchestration.
  • Experience with AI coding assistants and Generative AI tools.

Responsibilities

  • Lead design of data models and scalable ELT architecture.
  • Develop automation workflows and decision-intelligence solutions.
  • Build high-quality analytical datasets and data structures optimized for visualization.
  • Own CI/CD deployment and manage release processes effectively.
  • Drive engineering best practices including testing and documentation.
  • Optimize Snowflake performance and manage role-based access control (RBAC).
  • Mentor junior engineers and elevate overall engineering maturity.
  • Facilitate sessions to translate business needs into data products.
  • Partner with various teams including AI and Governance on data-related initiatives.

Benefits

  • Paid volunteer days to support community initiatives.
  • Discounts on Under Armour merchandise.
  • Competitive 401(k) matching plan.
  • Maternity and parental leave for eligible teammates.
  • Health and fitness benefits and resources promoting overall well-being.
Full Job Description
Purpose of Role

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions.

Your Impact

Data Engineering & Architecture:
  • Lead data model design, semantic layer definition, and scalable ELT architecture.
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.
  • Build high-quality analytical datasets and visualization-optimized data structures.


Quality, CI/CD & Operational Excellence:
  • Own CI/CD deployment pipelines and release management processes.
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.
  • Lead root-cause analysis and long-term fixes for complex data issues.


Leadership & Collaboration:
  • Mentor junior engineers and uplift engineering maturity across squads.
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.
  • Influence architectural decisions and emerging-technology adoption.
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions.


AI Enablement:
  • Apply Generative AI tools to streamline development workflows and enhance product quality.
  • Contribute to the design of AI-enabled automation solutions.


Qualifications

  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
  • Expert SQL abilities with mastery in complex data transformation patterns.
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
  • 4+ Years of experience with Tableau or similar analytics platforms.
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.
  • 2+ Years of experience & strong background in CI/CD engineering best practice.
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
  • Advanced Python for automation, orchestration, and engineering workflows.
  • Working knowledge of automation tools (e.g., Elementum).
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.
  • Generative AI applies responsibly to accelerate development and improve quality.
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication.


Workplace Location

  • Location: This individual must reside within commuting distance from our Baltimore HQ office.
  • Work Schedule: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on-site attendance may be required
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

#LI-SA1

#REMOTE

#HYBRID

Relocation

  • No relocation provided


Base Compensation

$125,000.00-$165,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks

  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • 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- We offer teammates across the country programs to promote physical activity and overall well-being


Requisition ID: 166215

Location:

Similar Jobs

More Jobs at Under Armour

More Information Technology Jobs

Find similar Sr. Data Analytics Engineer jobs: