Senior Data Architect – IoT & Multi-Source Modeling

Nike Inc; Beaverton (OR); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Nike Inc. seeks a data architect to own the unified athlete profile data model, merging wearable device streams from multiple vendors into a single, query-optimized schema on Databricks/Sole. You will design the coaching intelligence data layer and NSRL-to-athlete models for scalable coaching algorithms.

The role emphasizes data quality, schema evolution, and collaboration with engineering and analytics to productionize data throughout the MAC BI pipeline.

Qualifications

• Bachelor’s degree in computer science, data science, data analytics, or related field.
• 5+ years of data modeling experience across analytical and operational data 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 skills with engineering and analytics.

Responsibilities

• Design the unified athlete profile data model — harmonizing wearable device streams into a single, query-optimized schema.
• Model the coaching intelligence data layer — organize structured and unstructured inputs for AI coaching engine consumption.
• Design NSRL-to-athlete data model translating sport science constructs into production-ready data structures.
• Own the Bronze/Silver/Gold medallion layer design for the Activity domain and define transformation contracts.

Skills

5+ years data modeling

Advanced SQL

Data profiling

Dimensional modeling

Data Vault / medallion

Multi-source data harmonization

Collaboration with engineering/analyt

Source-to-Target Mappings

Education

Bachelor’s degree in CS / data science / analytics

Tools

Databricks

Snowflake

BigQuery

Job description

Nike Inc. seeks a data architect to own the unified athlete profile data model, merging wearable device streams from multiple vendors into a single, query-optimized schema on Databricks/Sole. You will design the coaching intelligence data layer and NSRL-to-athlete models for scalable coaching algorithms.

The role emphasizes data quality, schema evolution, and collaboration with engineering and analytics to productionize data throughout the MAC BI pipeline.