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Senior Enterprise Architect

1 month ago

Seaside, California, United States NIKE Full time

About the Role

This is a critical technical leadership position that will drive architecture definition, analyze and recommend major enhancements and sequence architecture and technology roadmaps for Nike's data lake, data processing and artificial intelligence platforms.

The selected candidate will have a consistent track record of driving technology change and transformation in complex, high visibility and high impact in a matrix environment.

Key Responsibilities

  • Drive architecture and design to maximize technical capability and value of foundational technology investments, and their practical application in driving both revenue and efficiency across Nike.
  • Provide deep technical subject matter expertise and mentoring for advanced data management and AI processing as applied to new business opportunities, migration of existing workloads, and rationalization of technologies.
  • Lead and drive strategy and architecture for modern data lake, data processing and engineering systems and pipelines with a focus on foundational technology platforms.
  • Contribute to and align strategy and architecture for modern machine learning, AI and Generative AI capabilities across Nike with a focus on foundational technology platforms.
  • Collaborate across Nike to analyze, refine and prioritize technical capabilities and roadmaps with a focus on direct collaboration with peer architects and engineers.
  • Advise management and stakeholders on emerging industry and vendor trends and capabilities and how and when they might be best applied at Nike.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or similar field of study, or a combination of relevant education, experience, and training.
  • 10+ years architecture or software engineering experience with a focus on design as an individual contributor developing large scale enterprise shared technology platforms and capabilities through a combination of custom software development and vendor provided technology.
  • 7+ years professional experience with AWS or other major cloud provider.
  • 7+ years in a lead engineering role for a platform depended on by multiple application teams.
  • Deep industry experience in Data Lake, Data Warehouse, Data Engineering, Machine Learning, and Artificial Intelligence platforms, including Generative AI.
  • Extensive experience building resilient, available, secure, efficient, and automated shared software platforms, frameworks and systems.
  • Prior experience in working with engineering teams through major technology transitions.

About Nike

Nike is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability.

Nike is committed to working with and providing reasonable accommodation to individuals with disabilities.