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Description: 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.