Position Type
Full Time
Career area
Software Engineering
Location
4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India
Job ID
R-87276
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
WHO YOU WILL WORK WITH
We are looking for a visionary and value‑driven Director of Software Engineering to lead the design, build, and evolution of Nike’s modern data platforms and pipelines in support of digital transformation across merchandising, apparel and footwear product creation. This role will deliver the scalable, reliable, and secure data foundations that power analytics, intelligence, machine learning, and personalized experiences across merchandising, design, and development.
The ideal candidate is an inclusive and empowering technology leader with strong architectural instincts, a passion for data as a product, and a proven ability to translate business strategy into resilient data platforms that deliver value at scale.
WHO WE ARE LOOKING FOR
As a leader in the organization, you will partner closely with engineering and product leaders across Consumer Product & Innovation, Platform Engineering and Enterprise delivery teams. You will work hand‑in‑hand to manage priorities, drive alignment and deliver cohesive, end‑to‑end data capabilities.
Key Qualifications:
15+ years of experience in Data engineering and Software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms
5+ years of experience leading and scaling high‑performing technical teams
Proven success designing and operating modern cloud‑based platforms at enterprise scale
Strong understanding of data pipeline frameworks, metadata management, and data governance controls
Hands-on knowledge of Backend service technologies (Java, Node.js, Python), along with Microservices architecture experience.
Hands‑on experience with modern cloud technologies (e.g., AWS/Azure, Databricks, Snowflake, Kafka/Kinesis, Apache Spark, Apache Airflow, dbt)
Experience enabling analytics and AI through robust, well‑designed data foundations
Fluent in modern software architectural principles and patterns (e.g., REST, domain-driven design, microservices, etc.)
Proven ability to deliver high-impact, scalable services
Experience working within large organizations or scaled Agile delivery models
Exceptional communication and stakeholder engagement skills
Ability to translate complex technical concepts into clear, actionable guidance for diverse audiences
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
WHAT YOU WILL WORK ON
This role will lead, support, and develop Data and Software Engineering team members, manage priorities across complex dependencies, and deliver outcomes across organizational boundaries. You will partner closely with Merchandising and Creation product delivery teams, Busines Intelligence and Analytics delivery teams, and Intelligence teams to ensure data is trusted, accessible, and actionable throughout the product creation lifecycle.
Your responsibilities include:
Leading, mentoring, and managing a cross‑functional team of data engineers responsible for building and operating scalable data platforms, pipelines, and services aligned to multi‑year roadmaps
Define and execute the technical roadmap in collaborate with product managers and other engineering leaders
Owning the design and implementation of modern architectures, including lakehouse platforms, curated data layers, APIs, and microservices that enable seamless integration and interoperability
Ensuring all solutions are reliable, performant, secure, and observable through strong engineering standards and operational excellence
Championing data quality, lineage, governance, and metadata practices that enable trust and self‑service consumption
Partnering with Intelligence and Analytics teams to enable advanced analytics and AI/ML through well‑modeled, production‑ready datasets
Managing priorities, dependencies, and technical tradeoffs while balancing near‑term delivery with long‑term sustainability
Attracting, developing, and retaining top engineering talent while fostering a culture of learning, ownership, and continuous improvement
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
What You Can Expect
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
