• Own architecture for major systems across backend, database/lakehouse, and application layers. • Lead solution design for high-complexity initiatives and deliver production-ready implementations when needed. • Define patterns, abstractions, and technical standards that increase velocity and consistency. • Unblock teams by diagnosing issues across full-stack boundaries (Blazor → API → Postgres → data pipelines). • Guide schema evolution, performance optimization, reliability engineering, and security considerations. • Mentor senior engineers and elevate engineering culture through clarity, documentation, and example. • Partner closely with product, design, CTO, data, and AI/ML teams to shape roadmap and feasibility. • Apply AI/ML concepts to improve automation, personalization, data quality, and developer experience.