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You are accountable not only for delivering production-ready solutions, but for ensuring they are reliable, secure, performant, and aligned with enterprise governance and AI-readiness requirements.</p><p>You serve as a technical leader within the engineering team who guides architectural decisions within your domain, influencing best practices, and mentoring engineers while remaining deeply hands-on in building and optimizing data products that power Analytics, AI, and Automation across global business functions.</p><p>You partner closely with Global IT, Business Stakeholders, Data Governance, Security &amp; Privacy, AI &amp; Automation Engineers, Data Analysts, Marketing Technology, and FinOps to translate evolving business needs into scalable, compliant, and cost-efficient platform capabilities.&nbsp;</p><p>You continuously apply modern DevOps and GenAI-assisted engineering practices to enhance solution quality, accelerate delivery, and strengthen the long-term resilience of the platform.&nbsp;</p><p>&nbsp;</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>Design, build, and&nbsp;optimize&nbsp;scalable ELT pipelines using Snowflake,&nbsp;dbt&nbsp;Cloud, AWS Glue, Airflow, and&nbsp;Fivetran&nbsp;(CDC/log-based replication)&nbsp;</li><li>Own complex ingestion and transformation domains end-to-end, including architectural design, performance tuning, and production reliability&nbsp;</li><li>Write high-performance, production-grade SQL and Python integrated into automated CI/CD pipelines&nbsp;</li><li>Apply advanced&nbsp;data&nbsp;integration&nbsp;techniques to support enterprise&nbsp;analytics, data sharing, AI use cases, and self-service data products&nbsp;</li><li>Lead ingestion and integration efforts across enterprise systems such as SAP,&nbsp;Salesforce,&nbsp;and&nbsp;various specialized global technology data sources.&nbsp;</li><li>Establish and enforce data engineering&nbsp;and data security&nbsp;design patterns, coding standards, and deployment best practices&nbsp;</li><li>Partner with Global IT, Data Governance, Security &amp; Privacy, AI &amp; Automation Engineers, Data Analysts, FinOps, and business stakeholders to influence scalable and secure solution design&nbsp;</li><li>Serve as technical lead during development and deployment cycles, guiding implementation decisions and troubleshooting complex issues&nbsp;</li><li>Act as escalation point for high-impact production incidents within assigned domains and participate in a responsive on-call rotation process to resolve critical production issues as needed upholding data contract SLA’s</li><li>Drive improvements in data quality, observability instrumentation, and reliability engineering practices&nbsp;</li><li>Apply and champion&nbsp;GenAI-assisted engineering workflows to improve development velocity, automated testing, and data product quality&nbsp;</li><li>Mentor junior engineers through code reviews, design discussions, and technical coaching&nbsp;</li><li>Continuously improve&nbsp;platform and&nbsp;data pipeline&nbsp;performance, cost efficiency, and scalability&nbsp;</li></ul><p><strong>QUALIFICATIONS:</strong></p><ul><li><strong>Education:</strong>&nbsp;Bachelor’s degree in Computer Science,&nbsp;Information Systems,&nbsp;Engineering&nbsp;or a&nbsp;closely&nbsp;related field with&nbsp;5+ years of relevant experience OR&nbsp;Master’s degree in Computer Science, Information Systems, or closely related technical field and&nbsp;3&nbsp;years of progressively responsible data and/or software engineering experience&nbsp;OR&nbsp; 9+ years of relevant experience without a degree.&nbsp;</li><li>Strong data engineering&nbsp;and warehousing&nbsp;fundamentals&nbsp;(deployment patterns, data ingestion patterns, database design)&nbsp;</li><li>Experience building high-volume data products and services&nbsp;</li><li>Advanced programming in SQL and Python&nbsp;</li><li>Strong Snowflake&nbsp;expertise&nbsp;</li><li>Demonstrated analytic modeling&nbsp;proficiency&nbsp;</li><li>Experience integrating SAP, Salesforce, or comparable enterprise systems&nbsp;</li><li>Experience working with enterprise data domains (consumer, finance, marketing, supply chain, HR)&nbsp;</li><li>Demonstrated application of security and privacy-by-design frameworks&nbsp;</li><li>Strong experience with&nbsp;AWS&nbsp;services&nbsp;(S3, Glue, IAM)&nbsp;</li><li>Proven&nbsp;successful&nbsp;experience in&nbsp;enabling&nbsp;data replication and&nbsp;cloud&nbsp;data sharing&nbsp;&nbsp;</li><li>Job orchestration tools such as Airflow&nbsp;(i.e.&nbsp;MWAA)&nbsp;</li><li>Understanding of CI/CD and Git workflows&nbsp;</li><li>Proven experience&nbsp;building for or application of&nbsp;GenAI&nbsp;in either RAG workflows, or agentic workflows&nbsp;(i.e.,&nbsp;Snowflake&nbsp;Cortex AI Suite)&nbsp;</li><li>Practical work experience&nbsp;utilizing&nbsp;API to build&nbsp;bespoke data pipelines&nbsp;or automation workflows.&nbsp;</li><li>Ability to provide written,&nbsp;visual,&nbsp;and oral interpretation of highly specialized technical&nbsp;concepts&nbsp;to&nbsp;both technical and&nbsp;non-technical&nbsp;audiences.&nbsp;</li><li>Basic understanding of GDPR, CCPA, or data privacy principles&nbsp;preferred&nbsp;</li><li>Experience enabling AI/GenAI&nbsp;workloads at scale&nbsp;preferred</li><li>Experience partnering with FinOps on cost optimization&nbsp;preferred</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:&nbsp;&nbsp;</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;</p><p>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;</p><p>At Under Armour India, this translates into an environment where individuals have the freedom to go further, regardless of role. Teams are empowered to develop and deliver state-of-the-art products and digital solutions that enhance performance and drive impact at scale.&nbsp;</p><p><strong>VALUES &amp; INNOVATION:&nbsp;</strong></p><p>Across Under Armour globally, our values act as the thread that unites every teammate, shaping a culture grounded in purpose, accountability, and shared ambition. 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