5+ years as a Solutions or Enterprise Architect with demonstrated ownership of complex, multi-system solutioning in rail, transit, airlines, or transportation operations; exposure to scheduling, dispatch, crew management, asset maintenance, and train control function as a connected operational ecosystem is a plus. Familiarity with AI/ML-enabled operations: predictive maintenance, anomaly detection, scheduling optimization, or computer vision inspection pipelines; experience with lakehouse architecture (Databricks, Delta Lake, Unity Catalog) applied to operational and engineering data is a strong differentiator.