People, Person, Apparel, Clothing

Lead Engineer, Editorial Engine

Lead Engineer, Editorial Engine

Beaverton | Oregon | United States

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

The Taxonomy and Tagging Lead Engineer will lead the engineering implementation and maintenance of an enterprise metamodel, supporting the definition that affords data scientists and modelers to catalogue, search and reuse data assets. You will lead the engineering of Nike's next generation Taxonomy & Ontology strategy while partnering across functions such as Data Governance & Privacy, Architecture and Consumer Data Engineering.

Responsibilities

•Develop and design engineering solutions to support our product and data taxonomy efforts including API development
•Deploy & handle the availability, usability, integrity, and security of the taxonomy & tagging data employed to support the Nike business
•Support the Product Owner in development of taxonomy & ontology standards, processes, technologies & governance and provide council to establish and handle a baseline of a common understanding of data fields, schemas, processes and general standards
•Work with analysts and data scientists to explore web metrics and other innovative data opportunities to optimize Nike's product Taxonomy
•Collaborate as a data quality expert with key partners and the business to understand requirements and find creative and flexible engineering solutions to resolve problems

WHAT YOU BRING TO NIKE

•Bachelor's degree in Computer Science or related field, Masters preferred
•5+ years of experience on Core Java
•Proficiency in Java and or Python
•Strong skills in data structures, algorithms and developing REST APIs
•Familiarity with microservices architecture and RPC frameworks such as GRPC
•Knowledge of SmartLogic Semaphore preferred
•Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
•Ability to translate business use cases into a good taxonomy design
•Knowledge of data related government regulatory requirements and emerging trends and issues
•Knowledge of AWS, Lambda and API Gateway

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. 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, veteran status, or disability.

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