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Strong brand and metro location increase applicant density, but senior specialization reduces competition.
Role demands deep enterprise data platform and knowledge-graph expertise, making cross-industry transferability limited.
Explicit 10+ years and Distinguished Engineer mandate with deep domain requirements increases filtering stringency.
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Own and drive the technical direction, architecture, and modernization of Nike’s global enterprise data, analytics, and AI platforms focusing on scalability, resilience, security, and cost efficiency.
Build and establish platform standards for semantic layers, ontology, taxonomy, knowledge graphs, governance, observability, and automation to enable self-service and high-quality data operations at scale.
Collaborate with senior leaders across engineering, product, infrastructure, and security teams, and mentor senior engineering leaders to enhance platform outcomes and organizational technical excellence.
Bachelor's degree in computer science or related field or equivalent combination of education, experience, and training.
10+ years of software engineering experience as an individual contributor with a proven track record as a Distinguished Engineer or equivalent senior technical leadership role.
Deep expertise in enterprise data and analytics platforms including cloud-native batch and streaming pipelines, distributed systems, semantic layers, ontology, taxonomy, and knowledge graphs.
Strong understanding of enterprise data privacy, governance, access control, AI/ML technologies, system performance tradeoffs, and high availability engineering.
Senior technical leader with demonstrated ability to define and execute scalable, resilient, and secure data and AI platform architecture in complex, global environments.
Experienced in influencing and partnering cross-functionally with engineering, product, infrastructure, and security leadership to align platform roadmaps and capabilities with business needs.
Proven mentor and influencer of engineering excellence with a history of innovation, open-source contributions, and technical thought leadership in data ecosystems and AI platform technologies.