Senior Data Architect - Athlete Profiles & AI Coaching

Nike Inc

Beaverton, Northern (OR, KY)

Hybrid

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

Nike Inc is seeking a data architect to design and govern the Activity domain data models for wearable device streams and coaching insights. You will own unified athlete profiles and production-ready data contracts that feed AI coaching engines and dashboards, collaborating closely with engineering and analytics teams across Beaverton and global partners.

The role requires deep expertise in dimensional modeling, Data Vault, and multi-source integration, with hands-on SQL and ETL design

Qualifications

  • Bachelor's degree or equivalent in a data-related field.
  • 5+ years of data modeling experience across analytical and operational systems.
  • Deep expertise in dimensional modeling, Data Vault, or medallion architectures.
  • Production experience designing models for multi-source data harmonization.
  • Advanced SQL and data profiling skills.
  • Experience producing Source-to-Target Mappings.
  • Strong collaboration with engineering and analytics.

Responsibilities

  • Design the unified athlete profile data model for wearable data integration.
  • Model coaching intelligence data layer for AI Coaching Engine consumption.
  • Translate NSRL sport science constructs into production-ready structures.
  • Own the medallion layer design and transformation contracts for the Activity domain.

Skills

Data modeling
SQL
Dimensional modeling
Data Vault
Multi-source data
Collaboration
IoT data modeling

Education

Bachelor's degree in CS/Data/related

Tools

Databricks
Snowflake
BigQuery
Delta Lake

Job description

Nike Inc is seeking a data architect to design and govern the Activity domain data models for wearable device streams and coaching insights. You will own unified athlete profiles and production-ready data contracts that feed AI coaching engines and dashboards, collaborating closely with engineering and analytics teams across Beaverton and global partners.

The role requires deep expertise in dimensional modeling, Data Vault, and multi-source integration, with hands-on SQL and ETL design

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