Principal Data Architect
WHQ
Nike
Inspiration und Support für alle Athlet:innen mit innovativen Produkten, Experiences und Services. Spare 25 % am Nike Black Friday. Es gelten Ausnahmen.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.
WHO WE ARE LOOKING FOR
We’re looking for a Principal Data Architect to join our Architecture team in the Consumer Product & Innovation organization (CP&I) responsible for Nike’s Product Innovation, Merchandising, Design & Development. You will work with diverse cross-function team members to accelerate data modernization driving business outcomes and cultivating a data-driven culture within the organization.
WHAT YOU WILL WORK ON
You will lead the development and implementation of data strategy and architecture, as well as optimizing the data-product portfolio to drive efficient enterprise integration and enable AI/ML, analytics, and reporting use cases.
You will be responsible for:
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
WHO YOU WILL WORK WITH
You will spend much of your time with Data Product Managers, Solution Architects, and Software Engineers in CP&I delivery teams. You will also partner closely with other Data Architects, Taxonomists, Solution Architects, Product Managers, Engineering leaders from enterprise teams reliant on Product data.
WHAT YOU BRING
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
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
Tags: Agile APIs Architecture AWS Consulting Data analysis Databricks Data governance Data strategy Data Warehousing Engineering Machine Learning Snowflake SQL
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