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 missionbuilding 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 a dynamic engineering manager with a passion for building and leading high-performing software engineering teams. 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
- 12+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
- 3+ years of experience leading engineering teams, with demonstrated success in hiring, mentoring, and growing talent.
- Expertise in at least one major cloud platform: AWS, Azure, GCP, or OCI.
- Strong programming skills in Python, Java, C++, SQL etc.
- Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Apache Kafka and Apache Airflow.
- Strong understanding of data modeling, data pipeline frameworks, metadata management, and data governance controls.
- Strong understanding of architectural design patterns and core computer science principles.
- Proven ability to deliver high-impact, scalable services.
- Excellent communication and stakeholder management skills.
What You'll Work On
What You'll Do
- Lead a team of software engineers responsible for Design, build and maintaining scalable data platforms, data products, data pipelines and services.
- Drive the development of SDKs, APIs, and microservices that support enterprise-wide data and analytics needs.
- Collaborate with product managers, architects, and other engineering leaders to define and execute the technical roadmap.
- Foster a culture of continuous improvement, innovation, and engineering excellence.
- Ensure the team follows best practices in software development, data governance, and platform observability.
- Foster a culture of continuous improvement, innovation, and engineering excellence.
- Align engineering initiatives with broader organizational goals such as modernization, cloud cost optimization, and data governance.
