About this role
WHO YOU’LL WORK WITH
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.
WHO WE ARE LOOKING FOR
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
WHAT YOU’LL WORK ON
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.