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Semantic Architect
Semantic Architect
About the Role
We are seeking a Senior Semantic Architect to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role, you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.
Location: London, United Kingdom Work Mode: Hybrid Experience Required: 8 years and above
Responsibilities
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Ontology Design & Maintenance
- Design, develop, and maintain ontologies (OWL/RDF or similar) modeling key enterprise data domains and relationships.
- Collaborate with domain experts to capture real-world concepts and validate ontology accuracy against business knowledge.
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Knowledge Graph Development
- Build and manage enterprise knowledge graphs based on defined ontologies.
- Configure graph databases or triple stores, populate them with RDF triples, and optimize for query performance and scalability.
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Semantic Querying (SPARQL)
- Create and optimize SPARQL queries for efficient data retrieval, integration, and analytics.
- Develop endpoints supporting advanced search and analytics in linked data environments.
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Validation Rules & Data Quality
- Implement semantic validation rules and consistency checks (SHACL or OWL constraints) to ensure data integrity.
- Define and enforce data modeling conventions and business rules for interoperable enterprise data.
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Integration with Enterprise Systems
- Collaborate with software engineers, data architects, and IT teams to embed semantic models in data pipelines, APIs, and databases for seamless data exchange.
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Collaboration & Cross-Functional Support
- Partner with AI/ML teams to integrate knowledge graphs into AI-driven solutions.
- Work with business analysts and data stewards to align semantic models with organizational needs.
- Educate non-technical stakeholders on semantic concepts and foster adoption of the semantic framework.
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Integration with AI Agents
- Leverage ontologies and knowledge graphs for AI agents and large language models (LLMs) to improve context, disambiguation, and knowledge retrieval.
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Standards & Best Practices
- Stay current with emerging semantic web standards, tools, and best practices.
- Contribute to internal guidelines for ontology and knowledge graph standardization.
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Mandatory Skills
- Neo4J
- Resource Description Framework (RDF)
- SPARQL
- Web Ontology Language (OWL)
Mandatory Skills Breakdown
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Ontology Design & Maintenance
- Hands-on experience designing and maintaining ontologies using OWL/RDF.
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Semantic Web Proficiency
- Expertise in OWL (Web Ontology Language), RDF (Resource Description Framework), and SPARQL.
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Knowledge Graph Experience
- Practical experience building/maintaining knowledge graphs or linked data systems.
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Data Modelling & Integration
- Strong understanding of data modelling, architecture, and integrating heterogeneous data sources.
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Programming Skills
- Proficiency in Python, Java, or similar programming/scripting languages.
Nice-to-Have Skills
- Metadata Standards (e.g., Dublin Core, schema.org)
- AI and LLM Integration
- Enterprise System Integration
- Hands-on experience with ontology/knowledge graph tools
Languages
English: C1 (Advanced)
Apply with your CV to hr@marketcloud.co.uk
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