Design, build, deploy, and own scalable end-to-end data platforms, API services, and data products. Lead technical design, build reusable frameworks, implement Data Mesh, optimize performance and cost, mentor engineers, and ensure system reliability and monitoring while collaborating with stakeholders.
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 designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.
Skillset Required
WHAT YOU’LL WORK ON
What You’ll Do
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 designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.
Skillset Required
- 7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
- Advanced Knowledge in API services
- Expertise in CI/CD process.
- Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.
- Strong programming skills in Python, Java or similar language
- Strong Knowledge of SQL.
- Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.
- Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWSCloudFormation, Docker, or Kubernetes
- Strong understanding of advanced data modeling techniques and modern data warehouses and strong Medallion architecture expertise
- Ability to design scalable, fault-tolerant, and maintainable distributed systems.
- Excellent communication and stakeholder management skills.
WHAT YOU’LL WORK ON
What You’ll Do
- Design, build, deploy, and own complete, scalable, and reliable end to end, software to data platforms and solutions.
- Lead the technical design of new API services, data pipelines, and systems.
- Build reusable frameworks, libraries, and data management SDKs to improve productivity.
- Build Data Mesh Data products with abstraction.
- Optimize performance and cost-efficiency of Services workload, data workflows and compute layers.
- Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
- Provide technical leadership and mentorship to junior engineers.
- Ensure the uptime, reliability, and monitoring of the systems you build and own.
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