At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data Foundation team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making across Nike’s global supply chain and planning ecosystem.

We are looking for an experienced software engineer with a passion for building robust and scalable data solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software.

Skillset Required

• 5-7 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, SQL etc. 

  
  

• Deep expertise with cloud platforms like AWS, Azure, or GCP.

  
  

• Hands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow 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.

  
  

• Good hands on experience in observability and Data quality

  
  

Skillset Preferred (Good to Have)

• Basic understanding of Machine Learning and Generative AI concepts

  
  

• Exposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)

  
  

• Familiarity with prompt engineering techniques and evaluation

  
  

• Experience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar

  
  

• Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus

  
  

• Awareness of AI guardrails, responsible AI, and data privacy considerations

  
  

As a Software Engineer III, you will -

• Design, develop, and maintain scalable data solutions.

  
  

• Build and optimize data pipelines, ensuring data quality and reliability.

  
  

• Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.

  
  

• Collaborate with cross-functional teams including product managers, data scientists, 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.