Enterprise Data Architect
Hexaware Technologies
United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
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
+10 more
Retrieval-Augmented Generation
Agentic-AI
Data Layers
Microsoft Fabric
Data Lineage
Data Analytics
Enterprise Integration
Operational Systems
Data Management
Databricks
Requirements
- 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.
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