Senior Data and AI Platform Engineer

PURPOSE OF ROLE:

The Senior Professional Data & AI Platform Engineer owns the design, development, deployment, and operational excellence of complex data ingestion and transformation domains within the enterprise cloud data platform.

This role builds scalable, high-volume data pipelines while elevating technical standards across development and deployment practices. 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.

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.

You partner closely with Global IT, Business Stakeholders, Data Governance, Security & Privacy, AI & Automation Engineers, Data Analysts, Marketing Technology, and FinOps to translate evolving business needs into scalable, compliant, and cost-efficient platform capabilities.

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.

Reporting Structure- You will report directly to amanager employed by Under Armour Global Services Pvt. Ltd. in India.

YOUR IMPACT (Job Responsibilities):

• Design, build, andoptimizescalable ELT pipelines using Snowflake,dbtCloud, AWS Glue, Airflow, andFivetran(CDC/log-based replication)
• Own complex ingestion and transformation domains end-to-end, including architectural design, performance tuning, and production reliability
• Write high-performance, production-grade SQL and Python integrated into automated CI/CD pipelines
• Apply advanceddataintegrationtechniques to support enterpriseanalytics, data sharing, AI use cases, and self-service data products
• Lead ingestion and integration efforts across enterprise systems such as SAP,Salesforce,andvarious specialized global technology data sources.
• Establish and enforce data engineeringand data securitydesign patterns, coding standards, and deployment best practices
• Partner with Global IT, Data Governance, Security & Privacy, AI & Automation Engineers, Data Analysts, FinOps, and business stakeholders to influence scalable and secure solution design
• Serve as technical lead during development and deployment cycles, guiding implementation decisions and troubleshooting complex issues
• 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 SLAs
• Drive improvements in data quality, observability instrumentation, and reliability engineering practices
• Apply and championGenAI-assisted engineering workflows to improve development velocity, automated testing, and data product quality
• Mentor junior engineers through code reviews, design discussions, and technical coaching
• Continuously improveplatform anddata pipelineperformance, cost efficiency, and scalability

QUALIFICATIONS:

• Education:Bachelors degree in Computer Science,Information Systems,Engineeringor acloselyrelated field with5+ years of relevant experience ORMasters degree in Computer Science, Information Systems, or closely related technical field and3years of progressively responsible data and/or software engineering experienceOR 9+ years of relevant experience without a degree.
• Strong data engineeringand warehousingfundamentals(deployment patterns, data ingestion patterns, database design)
• Experience building high-volume data products and services
• Advanced programming in SQL and Python
• Strong Snowflakeexpertise
• Demonstrated analytic modelingproficiency
• Experience integrating SAP, Salesforce, or comparable enterprise systems
• Experience working with enterprise data domains (consumer, finance, marketing, supply chain, HR)
• Demonstrated application of security and privacy-by-design frameworks
• Strong experience withAWSservices(S3, Glue, IAM)
• Provensuccessfulexperience inenablingdata replication andclouddata sharing
• Job orchestration tools such as Airflow(i.e.MWAA)
• Understanding of CI/CD and Git workflows
• Proven experiencebuilding for or application ofGenAIin either RAG workflows, or agentic workflows(i.e.,SnowflakeCortex AI Suite)
• Practical work experienceutilizingAPI to buildbespoke data pipelinesor automation workflows.
• Ability to provide written,visual,and oral interpretation of highly specialized technicalconceptstoboth technical andnon-technicalaudiences.
• Basic understanding of GDPR, CCPA, or data privacy principlespreferred
• Experience enabling AI/GenAIworkloads at scalepreferred
• Experience partnering with FinOps on cost optimizationpreferred

WORKPLACE LOCATION:

Location: This individual must reside within commuting distance from our office.

Work Schedule: This role follows a hybrid work schedule, requiring 4 days in-office per week.

OUR COMMITMENT TO EQUAL OPPORTUNITY:

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. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodation is available for applicants with disabilities upon request.