As Senior Data Architect / Lead, you'll define how data is structured and ensure it flows seamlessly from source to production ML. This role blends architecture, modeling, and ML enablement. You'll design the data foundations for model development and deployment — working with Data Science and Platform teams to ship models safely — but won't own 24/7 infra or MLOps tooling.

• Data Architecture & Strategy: Define enterprise data architecture for analytics, BI, and ML use cases. Set the roadmap for real-time + batch data
• Model Development Enablement: Architect feature pipelines, training data layers, and semantic models that accelerate DS teams. Own feature store design and data contracts for ML
• Model Deployment Design: Partner with ML & Platform Engineering to architect deployment patterns for batch and real-time inference. Define standards for model data inputs, monitoring data, and rollback