Senior Data Modeler – MAC BI, Activity Intelligence

Role overview

Data architecture and modeling

• Own logical and physical data architecture for the Activity domain.
• Design a unified athlete profile that brings together wearable-device data from Garmin, Apple Watch, and COROS.
• Model structured training inputs such as goals, baselines, and injury history alongside unstructured coaching notes, feedback, and perceived-exertion data.
• Connect Nike Sport Research Lab sport-science models to production coaching recommendations; create the model contract between raw device data and the AI Coaching Engine.

Must-have qualifications

• Bachelor's degree in computer science, data science, data analytics, or a related field; suitable combinations of education, experience, or training are accepted.
• 5+ years of data modeling across analytical and operational systems, including large-scale platforms such as Databricks, Snowflake, BigQuery, or equivalent.
• Deep expertise in dimensional modeling, Data Vault, or medallion architectures.
• Production experience harmonizing data from multiple vendors or systems into consistent representations.
• Advanced SQL and data-profiling skills; experience producing source-to-target mappings and working with engineers to implement them.
• Strong collaboration skills across engineering and analytics.

Preferred qualifications

• Wearable, IoT, or sensor-data modeling experience is strongly preferred.
• Health, fitness, or sport-science data experience is strongly preferred.
• Databricks/Spark physical-design familiarity, schema evolution and versioning experience, and comfort collaborating across time zones are strongly preferred.
• Nike internal data-platform familiarity, endurance-sports or coaching background, health/fitness data privacy modeling, and ML/AI consumption modeling are nice to have.

Team context