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It ensures engineering output aligns with enterprise architectural guardrails, governance standards, and long-term platform strategy. Operating with strong collaboration across the Enterprise Data Management and Analytics towers and in close&nbsp;partnership&nbsp;with Global IT, Privacy and Security&nbsp;teams, this role strengthens alignment between platform engineering, analytics enablement, AI innovation, and enterprise technology operations.&nbsp;</p><p>By integrating technical leadership with people development and operational oversight, this role advances engineering maturity, modernizes platform capabilities, and ensures durable, high-performing data products that power analytics, automation, and intelligent decision-making across the organization.&nbsp;is a technical leader within EDMA responsible for architecting and scaling enterprise data products that enable strategic decision-making. This role defines engineering and data modeling standards, drives platform modernization, and leads&nbsp;complex&nbsp;cross-functional initiatives across the Decision Products ecosystem</p><p><strong>Reporting Structure</strong>&nbsp;- You will report directly to a&nbsp;manager employed by Under Armour Global Services Pvt. Ltd. in India.&nbsp;&nbsp;</p><p>&nbsp;</p><p><strong>YOUR IMPACT (Job Responsibilities):</strong></p><ul><li>Lead, mentor, and grow data platform engineers while reinforcing high performance, &nbsp;high-quality engineering culture.&nbsp;</li><li>Ensure alignment to enterprise engineering principles, platform governance, architectural guardrails, and security standards.&nbsp;</li><li>Drive scalable ingestion, transformation, and integration patterns using Snowflake, dbt, AWS, Airflow, Fivetran, and related ecosystem tools.&nbsp;</li><li>Uphold data, analytic modeling, and semantic layer standards across all enterprise domains.&nbsp;</li><li>Guide engineers through complex architecture decisions, production issues, and workload optimization.&nbsp;</li><li>Strengthen CI/CD, automated testing, observability, data quality, monitoring, alerting, and version control practices.&nbsp;</li><li>Oversee release/change management, SLA/SLO adherence, and production stability across platform products.&nbsp;</li><li>Optimize compute, storage, performance, and cost efficiency in partnership with security and FinOps.&nbsp;</li><li>Lead cross-functional initiatives across Product, Platform, AI, Automation, Governance, and Global IT while shaping long term roadmap direction.&nbsp;</li><li>Support sprint execution, remove delivery risks, oversee on-call processes&nbsp;and issue escalation processes, and promote responsible GenAI assisted engineering practices.</li></ul><p><strong>QUALIFICATIONS:</strong></p><ul><li>Bachelor’s 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&nbsp; OR Master’s 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.&nbsp;</li><li>Typically, 1 - 3 years of management experience; or equivalent experience as the subject matter lead or&nbsp;expert in area of expertise.</li><li>Demonstrated experience leading engineering teams while&nbsp;maintaining&nbsp;strong technical credibility&nbsp;with a strong ability&nbsp;to&nbsp;communicate&nbsp;complex topics&nbsp;to&nbsp;all levels&nbsp;</li><li>Deep&nbsp;expertise&nbsp;in<strong> Snowflake</strong> and&nbsp;modern data integration patterns and architectures</li><li>Strong experience and understanding of <strong>AWS</strong> and its cloud services, security and architecture is preferred.</li><li>Advanced <strong>SQL</strong> and <strong>Python</strong> programming skills&nbsp;</li><li>Hands on Experience on Apache Airflow is mandatory.</li><li>Strong&nbsp;understanding of data replication patterns, database&nbsp;design&nbsp;and&nbsp;data storage&nbsp;formats&nbsp;</li><li>Experience integrating SAP, Salesforce,&nbsp;3rd&nbsp;Party&nbsp;and&nbsp;other global&nbsp;enterprise platforms&nbsp;</li><li>Proven CI/CD and DevOps implementation experience&nbsp;</li><li>Strong understanding&nbsp;and adherence&nbsp;of security-by-design and privacy-by-design principles&nbsp;</li><li>Experience enabling AI/ML or GenAI-ready data platforms.</li></ul><p><strong>WORKPLACE LOCATION:</strong></p><p><strong>Location:</strong> This individual must reside within commuting distance from our<strong> </strong>office.&nbsp;</p><p><strong>Work Schedule: </strong>This role follows a hybrid work schedule, requiring 4 days in-office per week. &nbsp;</p><p><strong>OUR COMMITMENT TO EQUAL OPPORTUNITY:</strong></p><p>At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. 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At its core, this is about empowering those who strive for more – a belief reflected in our values: Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equality.&nbsp;</li><li>These values serve as a shared framework that guides how we think, build, and collaborate. They connect teams across geographies, reinforce our purpose, and ensure that everything we do is aligned to a common goal – enabling better outcomes for athletes and the business.&nbsp;</li><li>At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. 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