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Strong employer brand and metro location increase applicant density despite seniority and niche skills.
Data platform and cloud skills are broadly transferable across industries, enabling cross-industry fit.
Explicit 12+ years requirement, principal leadership experience, and specific big-data/ML/cloud skills make filters strict.
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Lead architecture design and development of scalable, secure, high-volume data platforms and complex integrations for merchandising, product design, and development solutions.
Drive technical strategy, engineering best practices, and adoption of modern methodologies such as CI/CD, DevOps, automation, and agile frameworks across multiple engineering teams.
Mentor senior engineers, oversee critical project lifecycles, and evaluate emerging technologies to enhance Nike’s Consumer Products & Innovation technology ecosystem.
12+ years of progressive software engineering experience, with at least 5 years in senior leadership or principal engineer roles.
Proficiency in one or more programming languages: Python, Java, Scala, Go, or C++.
Expertise in building and scaling cloud-native data platforms and distributed systems, preferably on AWS, Azure, or GCP.
Strong knowledge of data engineering, machine learning infrastructure, big data technologies (e.g., Apache Spark, Kafka, Hadoop, Databricks), and modern DevOps practices including CI/CD and infrastructure as code (IaC).
Experienced in leading software architecture and engineering strategic decisions impacting merchandising and product development domains.
Comfortable working in fast-paced, complex environments requiring cross-functional collaboration, technical mentorship, and organizational influence.
Strong background in integrating AI/ML frameworks and agentic workflow or AI/LLM-powered enterprise applications.