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Lead Software Engineer - Data Engineering, ITC

30+ days ago 2026/07/16
Other Business Support Services
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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.
  • Providetechnical leadership and mentorshipto junior engineers.
  • Ensure theuptime, reliability, and monitoringof the systems you build and own.

This job post has been translated by AI and may contain minor differences or errors.
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