Manager - Data Engineering

Under Armour India

Bangalore, Karnataka
Permanent
Full-time

14 days ago
Apply easily

About Under Armour IndiaWe have expanded our global footprint with Under Armour India, a strategic capability hub in Bengaluru, designed to strengthen our global operations and accelerate innovation.Here, we enable athletes’ digital journeys with tech solutions they never knew they needed and can’t imagine living without. Our teams drive products from conceptualization to production, with a strong focus on consumer engagement and retail store experience.We combine art and technology with the athletes’ world of performance, sport, and fitness—working with the latest technologies across platforms.Job DescriptionPURPOSE OF ROLE:The Manager, Decision Product Engineering, is a technical manager within EDMA responsible for architecting and scaling enterprise data products that enable strategic decision-making. This establishes engineering and data modeling standards, drives platform modernization, and leads complex cross-functional initiatives across the Decision Products ecosystem.Partnering closely with Data Engineering, Automation & AI, Analytics, and Data Governance, the Manager shapes the technical roadmap and ensures delivery of high-performing, reliable data solutions. As a hands-on leader, this role oversees ELT architecture, CI/CD practices, and production stability.In addition, this role serves as a people manager, owning hiring, coaching, and performance management, while fostering a high-performing, collaborative team environment.YOUR IMPACT (Job Responsibilities):

Enterprise Data Architecture & Engineering Leadership
Design and govern scalable ELT architectures, including advanced dbt modeling frameworks.
Lead the development of large, complex data pipelines, automation workflows, and decision intelligence solutions.
Define and enforce architecture standards, modeling patterns, semantic layer principles, and engineering best practices.
Support and partner in data platform modernization efforts, including migration, optimization, and adoption of emerging technologies.

Snowflake & Data Platform Excellence:

Drive Snowflake performance optimization, ensuring efficient warehouse usage, ecure RBAC structures, high-performing queries, and cost-effective operations.
Lead modeling patterns, data sharing strategies, and enterprise semantic layer design. Quality, CI/CD & Operational Reliability
Own significant components of the CI/CD pipeline, ensuring high reliability, automated testing, and governance.
Collaborate with Leadership teams to Establish Data Ops best practices across quads, including observability, monitoring, alerting, and versioning standards.
Oversee release management, change management processes, and production stability for decision products.

Leadership, Mentorship & Cross Functional Influence:

Demonstrated capability to lead small teams (24 Decision Engineers), driving talent acquisition, coaching, and performance outcomes.
Facilitate complex stakeholder sessions to align business requirements, architecture decisions, and delivery plans.
Lead cross functional data programs spanning Product, Platform, Automation, AI, Governance, and Analytics.
Partners with Product & Engineering lead to shaping roadmap priorities, standards, and long-term technical vision.
Deliver executive level presentations on architecture decisions, design tradeoffs, and product strategies.

Automation & AI Enablement:

Build or integrate advanced automation frameworks supporting high scale operational workflows.
Apply Generative AI to streamline development, improve design standards, and scale repeatable engineering patterns.

QUALIFICATIONS:

Bachelor's degree with typically 8 years of relevant experience OR Master's degree with typically 6 years of relevant experience OR typically 12 years of relevant work experience without degree
1-3 Years of Experience managing data engineering teams while providing hands-on technical guidance, mentoring engineers, and ensuring delivery of high-quality, scalable data products.
Expert SQL abilities with mastery in complex data transformation and optimization techniques.
Deep expertise in data modeling, ELT architecture, and enterprise data ecosystems.
Proven ability to design and lead scalable data apps, automation pipelines, and decision intelligence solutions.
Strong proficiency with Tableau or similar analytics platforms.
Production level dbt expertise (modularity, testing, documentation, governance).
Strong background in CI/CD engineering, release management, and DevOps integration.
Advanced Snowflake engineering skills: VWH tuning, RBAC, cost/performance engineering, workload optimization, semantic layer design.
Advanced Python for automation, orchestration, and workflow engineering.
Experience with automation platforms such as Elementum.
Strong architectural influence, cross functional communication, and engineering leadership.
Ability to leverage Generative AI tools responsibly to improve engineering productivity and design quality.
Proficient in leveraging AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code)
Develop and lead the team, ensuring strong performance and growth.
Own capacity planning and delivery execution across sprints.
Build strong partnerships with business stakeholders to shape priorities.
Lead recruitment and selection for engineering roles.
Manage change communication to ensure alignment and transparency.

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 ariety of backgrounds and perspectives. Reasonable accommodation is available for applicants with disabilities upon request.

Under Armour India