Design and implement data models across enterprise data platforms, lakes, lakehouses, warehouses, and real-time streaming architectures, optimizing for performance, scalability, governance, and consumption. Collaborate with data engineers, business stakeholders, and AI/ML teams to build conceptual, logical, and physical models supporting advanced analytics, machine learning, RAG applications, and knowledge graphs.… Lead governance alignment, mentor junior modelers, and drive cross-functional strategy on data architecture, metadata management, and enterprise information modeling. Requires 8+ years of hands-on data modeling experience, deep SQL and relational theory expertise, and proven ability to bridge business and technical stakeholders across complex enterprise environments.