Manager Data & AI Platform Engineer

Key Responsibilities:

• Lead, mentor, and grow data platform engineers, fostering a high-performance, high-quality engineering culture. - Ensure alignment to enterprise engineering principles, platform governance, architectural guardrails, and security standards. - Drive scalable ingestion, transformation, and integration patterns using tools such as Snowflake, dbt, AWS, Airflow, Fivetran, and related ecosystem tools. - Uphold data, analytic modeling, and semantic layer standards across all enterprise domains. - Strengthen CI/CD, automated testing, observability, data quality, monitoring, alerting, and version control practices. - Optimize compute, storage, performance, and cost efficiency in partnership with security and FinOps. - Lead cross-functional initiatives across Product, Platform, AI, Automation, Governance, and Global IT while shaping long-term roadmap direction. - Support sprint execution, remove delivery risks, oversee on-call processes and issue escalation processes, and promote responsible GenAI assisted engineering practices. Qualifications Required:

• Bachelors degree in Computer Science, Information Systems, or closely related technical field followed by 8 years of progressively responsible data and/or software engineering experience, including demonstrated leadership and management responsibilities OR Masters degree in Computer Science, Information Systems, or closely related technical field and 6 years of progressively responsible data and/or software engineering experience, including demonstrated leadership and management responsibilities. - 1 - 3 years of management experience, or equivalent experience as the subject matter lead or expert in the area of expertise. - Demonstrated experience leading engineering teams while maintaining strong technical credibility with the ability to communicate complex topics to all levels. - Deep expertise in Snowflake and up-to-date data integration patterns and architectures. - Solid experience and understanding of AWS and its cloud services, security, and architecture is preferred. - Advanced SQL and Python programming skills. - Hands-on Experience with Apache Airflow is mandatory. - Strong understanding of data replication patterns, database design, and data storage formats. - Experience integrating SAP, Salesforce, 3rd Party, and other relevant systems. Role Overview: As the Engineering Manager, Data & AI Platform at Under Armour, you will lead the data platform engineering delivery within UAI. Your role will involve ensuring that platform capabilities are designed, built, optimized, and operated with the highest standards of scalability, reliability, security, and AI readiness. You will set and reinforce technical expectations, contribute to the design and development of enterprise data solutions, and ensure that engineering output aligns with enterprise architectural guardrails, governance standards, and long-term platform strategy. Collaboration across various teams, including Enterprise Data Management, Analytics, Global IT, Privacy, and Security will be essential in strengthening alignment between platform engineering, analytics enablement, AI innovation, and enterprise technology operations. Your role will focus on advancing engineering maturity, modernizing platform capabilities, and ensuring high-performing data products that power analytics, automation, and intelligent decision-making across the organization. Key Responsibilities: