Find The RightJob.
Lead Software Engineer - Data Engineering, ITC
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
- 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.
Similar jobs
No similar jobs found
© 2026 Qureos. All rights reserved.