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 building robust and scalable data platforms. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software.

Skillset Required

• 5+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
• Experience with various stages of software development, including design, development, testing, and deployment.
• Strong programming skills in Python, JavaScript, Java, Go, or C++.
• Deep expertise with cloud platforms like AWS, Azure, or GCP.
• Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
• Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
• A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
• Proven ability to deliver high-impact, API-first services at scale.
• Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
• Strong problem-solving and analytical thinking skills.
• Experience in guiding and supporting junior engineers.
• Excellent communication and collaboration skills.

WHAT YOU’LL WORK ON

What You’ll Do

• Design, develop, and maintain scalable data platforms and services.
• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
• Collaborate with cross-functional teams including product managers, and other engineers to deliver high-impact solutions.
• Implement best practices in software development, data governance, and platform observability.
• Development of agentic and AI/LLM powered enterprise applications
• Participate in code reviews, provide feedback, and mentor junior engineers.