Job Description

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 an experienced software engineer with a passion for designing and building robust data platforms and solutions. 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

• 7+ yearsof experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
• Advanced Knowledge in API services
• Expertise in CI/CD process.
• Expertise in big data technologies such asApache Sparkand real-time streaming technologies likeApache Kafka
• Strong programming skills in Python, Java or similar language
• Strong Knowledge of SQL.
• Advanced knowledge of amajor cloud platform (AWS, Azure, GCP)and its ecosystem of data services.
• Proficiencywith Infrastructure as Code (IaC) tools like Terraform or AWSCloudFormation,Docker, or Kubernetes
• Strong understanding ofadvanced data modeling techniquesand modern data warehouses and strongMedallion architectureexpertise
• Ability todesign scalable, fault-tolerant, and maintainable distributed systems
• Excellent communication and stakeholder management skills.

WHAT YOU’LL WORK ON

What You’ll Do

• Design, build, deploy, and own complete, scalable, and reliable end to end, software to data platforms and solutions.
• Lead thetechnical design of new API services, data pipelines, and systems
• Buildreusable frameworks, libraries, and data management SDKsto improve productivity.
• BuildData MeshData products with abstraction.
• Optimize performance andcost-efficiency of Services workload, data workflows and compute layers
• Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements intotechnical solutions
• Providet echnical leadership and mentorshipto junior engineers.
• Ensure theuptime, reliability, and monitoringof the systems you build and own.