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.
• 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.
• 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.
• 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.

What You’Ll Work On

• 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.