Lead Software Engineer, ITC

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+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.

• Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.

• Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.

• Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.

• Strong understanding of advanced data modeling techniques and modern data warehouses.

• Ability to design scalable, fault-tolerant, and maintainable distributed systems.

• Excellent communication and stakeholder management skills.

WHAT YOU’LL WORK ON

• Design, build, deploy, and own complete, scalable, and reliable data platforms and solutions.

• Lead the technical design of new data pipelines, services, and systems.

• Build reusable frameworks, libraries, and data management tools to improve productivity.

• Optimize performance and cost-efficiency of data workflows and compute layers.

• Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.

• Provide technical leadership and mentorship to junior engineers.

• Ensure the uptime, reliability, and monitoring of the systems you build and own.