Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
WHO YOU’LL WORK WITH
This role is part of the Nike’s Content Technology team within Consumer Product and Innovation (CP&I) organization, working very closely with the globally distributed Engineering and Product teams. This role will roll up to the Director Software Engineering based out of Nike India Tech Centre.
WHO WE ARE LOOKING FOR
We are looking for experienced Technology focused and hands on Engineering Manager to join our team in Bengaluru, India.
The engineering manager supports a squad of world class engineers, manages delivery priorities, and ensures high quality and well architected solutions are delivered on time and within budget.
A seasoned data engineering leader with 12+ years of experience in data engineering and at least 3 years in people or technical leadership roles.
Proven expertise in Databricks, Snowflake, Spark, Delta Lake, Airflow, and cloud platforms (preferably AWS).
Strong background in integrating ML/GenAI into data platforms.
Deep understanding of data modelling, performance tuning, platform scalability, Data Lakes, Medallion architecture, and Delta Lakes.
Experience with CI/CD pipelines, version control (Git), and DevOps practices in a data engineering context.
Excellent leadership, mentoring, and team-building skills.
Strong problem-solving abilities and the capability to design solutions for complex data challenges.
Effective communicator, able to translate complex technical concepts for non-technical stakeholders and work cross-functionally.
Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent experience.
Preferred: Experience with Kafka/Kinesis or real-time data streaming, Databricks certifications, and familiarity with Tableau or other analytical tools.
WHAT YOU’LL WORK ON
Lead and grow a high-performing team of data engineers and analyst
Define and drive the team’s technical roadmap in alignment with business goals.
Oversee the development of scalable data platforms, architecture, and best practices.
Drive the implementation of governance, CI/CD, and operational excellence.
Coach engineers, manage performance, and foster a collaborative culture.
Partner with cross-functional leaders to align priorities and execution.
Ensure technical delivery and solution quality across initiatives.
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.
