Enterprise Data Architect

Define and evolve enterprise data architecture principles, standards, and build specifications; produce detailed technical artifacts (data flow diagrams, process flows, system interactions); map processes and data flows end-to-end and translate complex business processes into clear data and process-flow builds; design end-to-end data lifecycle from source systems to consumption; develop conceptual, logical, and physical data models; enforce data modeling standards and documentation; define data abstraction layers and data contracts; determine trade-offs between normalization, usability, latency, and consistency; establish data integration patterns (batch, streaming, APIs, event-driven) for interoperable, reusable data assets; ensure data governance, quality, and lineage; perform data analysis and profiling; mentor team members on architectural standards; collaborate with business and technical partners to align data architecture with business goals.