Key Responsibilities- Define and evolve the enterprise-wide data architecture strategy, including modeling, governance, metadata, lineage, and data access standards.- Design and deliver reference architectures, reusable frameworks, and scalable patterns using ER modeling tools and modern data stack principles.- Provide strategic guidance and hands-on oversight of pipeline design, performance tuning, and data flow architecture, ensuring systems are scalable, secure, and future-proof.- Integrate Generative AI tools (e.g., for documentation, auto-generating metadata catalogs, and prototyping data flows) to accelerate engineering workflows and enhance productivity.