Senior Manager, Software Engineering - NRT (Data Streaming)

About the role

Nike is hiring a Senior Manager, Software Engineering, NRT within its AI, Platform Engineering & DevX (APEX) unit, reporting to the Data Streaming Platform area. The role leads Near-Realtime (NRT) teams and is split roughly 60% technology and 40% management. It sits in the Digital Transformation initiative, which builds petabyte-class solutions that stream fast-moving data from eCommerce, retail and partner channels.

Key responsibilities

• Help build and deliver foundational platforms with data engineering orchestration and modernise enterprise-level data integration.
• Drive the team to set standard methodologies, define success and develop metrics for feature delivery and production scaling.
• Partner with data engineering squads and leadership on a platform-centric roadmap for thousands of data engineers and data scientists.
• Work with engineering, product and architect leadership on foundational platform roadmaps, and with principle engineers and architects on tools for security, reliability, maintainability, availability, scalability and performance.
• Set technical direction when requirements are unclear, break down work in sprint planning and coach, mentor and hire engineering talent.

Required profile

• Bachelor's degree in Computer Science, Software Engineering or a related field.
• 13-15 years of related experience with strong technical understanding of Apache/Confluent Kafka and Apache NiFi.
• 5-7 years of people management leading multiple teams globally; experience managing a community of practice of streaming developers is strongly preferred.
• Strong communication, leadership, problem-solving and emotional intelligence, with a pragmatic, delivery-focused mindset.

Required skills

• Docker, Kubernetes/EKS, ECS
• DevOps practices: Terraform, Jenkins, Puppet, GitHub
• AWS ecosystem
• API-first design, distributed systems (microservices, virtualization) and cloud infrastructure for large-scale data warehouses, data lakes and data fabric