Job Description

WHO YOU'LL WORK WITH

------------------------


At Nike, we leverage the power of data and technology to serve athletesaround 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 P

ython, Java, C++, SQL

etc. 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

. 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

-----------------------

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.

* Participate in code reviews, provide feedback, and mentor junior engineers.