AI Semantic Data Architect_101302

Company:A Large Global Organization Key Skills: Agentic AI, LLM, Data architecture, Snowflake, Data Governance, Metadata Roles and Responsibilities: Design and implement enterprise data architecture for AI platforms, including Snowflake-based data assets and shared data services.Define and operationalize data governance and metadata strategy to support auditability, compliance, and consistent data semantics across AI applications.Architect semantic and integration patterns that connect AI-driven business applications through a common data layer.Establish architecture guidance for LLM and agentic AI enablement, including how models consume governed, well-described data assets.Ensure production readiness by aligning designs with enterprise standards for security, reliability, and maintainability.Skills Required: 14 - 18 years of relevant experience in data architecture, data governance, and platform design.Data governance and governance operating model for enterprise data platforms.Metadata strategy and metadata management practices for semantic consistency.Data architecture experience designing scalable, shared data layers for AI use cases.Snowflake experience building and governing data assets for production AI platforms.Good to Have: Azure experience supporting enterprise data and integration architecture.Education: Advanced degree in Computer Science, Engineering, or a related field (or equivalent experience). .