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Market Cloud Ltd

Semantic Enterprise Architect

London
Posted 2 days ago
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Semantic Enterprise Architect

Senior Semantic Architect

Role: Semantic Architect Years of Experience: 8+ years Location: London, United Kingdom Work Mode: Hybrid

Application Information Please send your CV to: hr@marketcloud.co.uk


Project Description

We are seeking a Senior Semantic Architect to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this industry-agnostic role, you will:

  • Build and maintain ontologies and knowledge graphs
  • Enforce semantic validation for data quality
  • Collaborate with AI teams to integrate semantic structures into intelligent applications

Your expertise should span semantic web technologies adaptable to any enterprise context.


Responsibilities

  • Ontology Design & Maintenance

    • Design, develop, and maintain ontologies (using OWL/RDF or similar)
    • Collaborate with domain experts to model real-world concepts and validate business knowledge accuracy
    • Ensure a consistent, shared data vocabulary across the organization
  • Knowledge Graph Development

    • Build and manage enterprise knowledge graphs, linking diverse data sources into unified graph data models
    • Configure graph databases (e.g., Neo4j) or triple stores, populate with RDF triples, and optimize for query performance

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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  • Semantic Querying (SPARQL)

    • Develop and optimize SPARQL queries for efficient data retrieval, integration, and analytics
    • Create semantic endpoints that enable advanced search and insights
  • Validation Rules & Data Quality

    • Implement semantic validation rules (SHACL/OWL constraints) to enforce data integrity
    • Define/review data modelling conventions and business rules
    • Ensure interoperable, structured enterprise data
  • Integration with Enterprise Systems

    • Work with engineers, architects, and IT teams on seamless ontology/knowledge graph integration
    • Embed semantic models in data pipelines, APIs, and databases
  • Collaboration & Cross-Functional Support

    • Partner with AI/ML teams to enhance knowledge graphs for AI-driven solutions
    • Advise business analysts and data stewards on aligning semantic models with business goals
    • Communicate semantic concepts to non-technical stakeholders

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  • Integration with AI Agents
    • Collaborate with AI teams to leverage ontologies/knowledge graphs in context-aware applications
    • Support AI solutions (e.g., chatbots) using semantic data for better knowledge retrieval and reasoning

Skills & Technical Requirements

Mandatory Skills

  • Ontology Design (using OWL/RDF)
  • Semantic Web Proficiency: Advanced knowledge of RDF and SPARQL
  • Knowledge Graph Experience: Enterprise-level implementation and maintenance
  • Data Modelling & Integration: Mastery of translating real-world entities into semantic schemas
  • Programming: Proficiency in Python, Java, or a like tool

Nice-to-Have Skills

  • Metadata Standards: Dublin Core, schema.org, or industry-standard ontologies
  • AI/LLM Integration: Experience in embedding ontologies/knowledge graphs to enhance AI performance
  • Enterprise Integration: Proven expertise integrating semantic tools into systems/edge data platforms

Languages Required

  • English: C1 Advanced or higher
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Skills

Ontology Design
Knowledge Graph Development
Semantic Querying
Data Quality
Integration
Collaboration
AI Integration
Neo4J
RDF
SPARQL
OWL
Data Modelling
Programming
Semantic Web
Graph Databases
Data Architecture

Location

London, England, United Kingdom

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