> Markdown version of [/jobs/ext/4650331-enterprise-data-architect](https://www.wearedevelopers.com/jobs/ext/4650331-enterprise-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Architect - **Company:** Hexaware Technologies - **Location:** United States - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Data Analysis, Data Governance, Data Infrastructure, Data Warehousing, Graph Database, Metadata, Meta-Data Management, Web Ontology Language, Resource Description Framework (RDF), SPARQL, Retrieval-Augmented Generation, Agentic-AI, Data Layers, Microsoft Fabric, Data Lineage, Data Analytics, Enterprise Integration, Operational Systems, Data Management, Databricks - **Published:** November 9, 2026 - **Apply:** https://computerjobs.com/us/en/mob/job/08CA1719EBC0C062EC ## About the Role * Data & Analytics Platforms: Hands-on architecture experience with Databricks, Microsoft Fabric, Lakehouse/Data Warehouse architectures * Knowledge Graphs & Semantic Technologies: Understanding of ontologies, taxonomies, RDF, OWL, SPARQL, graph databases, and semantic interoperability patterns. * Metadata, Governance & MDM: Experience with metadata management, business glossaries, master data management (MDM), data lineage, and data governance frameworks. * Enterprise Integration & Architecture: Ability to design canonical data models and integrate data across Domains, operational systems, and modern data platforms. * AI & Data Product Enablement: Familiarity with semantic layers, knowledge graphs, GenAI/RAG architectures, and AI-ready data foundations. * POC - Ability to conduct a POC contributing Agent Creation/Ontology collection/Analytics/Agent Execution/Traceability Agents pipelines.