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’LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for a dynamic engineering manager with a passion for building and leading high-performing software engineering teams. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.
Skillset Required
12+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
3+ years of experience leading engineering teams, with demonstrated success in hiring, mentoring, and growing talent.
Expertise in at least one major cloud platform: AWS, Azure, GCP, or OCI.
Strong programming skills in Python, Java, C++, SQL etc.
Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Apache Kafka and Apache Airflow.
Strong understanding of data modeling, data pipeline frameworks, metadata management, and data governance controls.
Strong understanding of architectural design patterns and core computer science principles.
Proven ability to deliver high-impact, scalable services.
Excellent communication and stakeholder management skills.
WHAT YOU’LL WORK ON
What You’ll Do
Lead a team of software engineers responsible for Design, build and maintaining scalable data platforms, data products, data pipelines and services.
Drive the development of SDKs, APIs, and microservices that support enterprise-wide data and analytics needs.
Collaborate with product managers, architects, and other engineering leaders to define and execute the technical roadmap.
Foster a culture of continuous improvement, innovation, and engineering excellence.
Ensure the team follows best practices in software development, data governance, and platform observability.
Foster a culture of continuous improvement, innovation, and engineering excellence.
Align engineering initiatives with broader organizational goals such as modernization, cloud cost optimization, and data governance.
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.
