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 Lead Engineer to join our team in Bengaluru, India.
As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. As a Lead Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Advanced Analytics and Business Intelligence initiatives.
Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent experience.
An experienced data engineer with 6+ years in data engineering and at least 2 years in technical leadership roles.
Deep hands-on expertise with Databricks, Snowflake, Spark, Delta Lake, and Apache Airflow (or similar workflow management tools).
Expert in SQL and Spark optimization techniques.
Strong command of Medallion architecture and data modeling.
Experience integrating ML/GenAI pipelines is a plus.
Exposure to Tableau or other BI tools.
Strong leadership skills with a proven ability to lead and mentor data engineering teams.
Excellent problem-solving skills and the ability to design solutions for complex data challenges.
Skilled in collaborating cross-functionally and mentoring engineers.
Effective communicator, able to work cross-functionally and translate technical concepts for non-technical stakeholders.
Preferred: Experience with Kafka/Kinesis or real-time data processing, and certifications in Databricks or Spark (strongly preferred).
WHAT YOU’LL WORK ON
Architect and lead the development of scalable data pipelines and platform features.
Translate business needs into technical solutions in collaboration with product teams, business stakeholders, and data science teams.
Enforce best practices across teams, including governance, quality, and coding standards.
Lead code reviews, pair programming, and mentoring.
Troubleshoot complex systems and optimize distributed pipelines.
Automate deployments using CI/CD and DevOps practices.
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.
