Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $138,400.00 in our lowest geographic market to $327,200.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

Principal Data Architect

CONSUMER PRODUCT AND INNOVATION , OREGON

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, it's about each person bringing skills and passion to a challenging and constantly evolving game.

• Designing a scalable and robust data architecture and strategy that supports the development of the data components that are foundational to sound platform and applications development
• Working closely with business partners, product owners, technology partners to translate business requirements into data models and architecture for data and AI products
• Designing and developing data models, from conceptual to physical, to represent data entities and their relationships, adhering to best practices to support enterprise operational data at scale
• Overseeing data contract definition and the implementation of data models to optimize data design for performance and total-cost of ownership
• Partnering with Enterprise Taxonomists to develop metadata taxonomies to ensure data interoperability
• Establishing and communicating data architecture and modeling standards, principles and best practices to promote data literacy, enabling data governance
• Managing the integration landscape to drive simplification and standardization across enterprise data consumers

• A minimum Bachelor Degree or a combination of relevant education, training and experience is required.
• In-depth knowledge in one or more business domains (Merchandising, Product Design, Product Development, Planning, Consumer/Marketplace)
• Deep expertise in requirements analysis, data modeling and implementation techniques and technologies
• Deep understanding and experience with data ingress, egress, data services/APIs, reporting, data warehousing, AI/ML integration and analytics platforms
• Strong knowledge of cloud technologies like Snowflake or Databricks, AWS, including data services such as S3 and RDS
• Expert at data analysis, data querying tools/SQL with the ability to write complex queries
• Strong understanding of business functional design, business process design, and modeling
• Experience with modeling tools like Hackolade, Erwin, PowerDesigner
• Strong analytical and consulting skills
• Excellent collaboration and time management skills
• Excellent influencing, verbal and written communication skills
• Demonstrated ability to build and maintain relationships with multiple peers and cross-functional partners
• Experience working in a technical leadership role with agile teams in a product model