ALTEN
Senior Consultant (knowledge graph)
Skills
5 days ago
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Important information
Contract type:
Permanent
Location:
Kraków, Poland
Work mode:
Onsite
Published on:
16 October 2026
What they need
We are currently seeking an experienced professional to join one of our clients in the role of Senior Consultant Specialist
In This Role, You Will:
- Design, develop, and implement Knowledge Graph solutions using Ontologies, Labeled Property Graphs (LPG), and RDF graphs for Enterprise Metadata management
- Define and maintain enterprise ontologies aligned with business domains and data architecture standards
- Architect data models and graph schemas to support complex business use cases including data lineage and governance
- Optimize graph queries and data retrieval mechanisms for performance and scalability
- Collaborate with cross-functional teams to translate business requirements into scalable graph-based technical solutions
- Implement data controls and risk mitigation solutions supporting regulatory compliance (BCBS 239, IRR, etc.)
- Develop and maintain semantic web technologies using SPARQL, OWL, and RDF standards
- Provide technical guidance and mentorship to development teams on Knowledge Graph best practices
To be successful in this role, you should meet the following requirements:
- 7+ years of relevant technical experience in enterprise software development with strong focus on Knowledge Graph technologies
- Deep expertise in Knowledge Graph technologies including Ontology design, LPG (Labeled Property Graphs), and RDF (Resource Description Framework)
- Strong hands-on experience with graph databases such as Neo4j, Amazon Neptune, or RDF4J
- Expert-level understanding of semantic web technologies including SPARQL, OWL, RDFS, and graph database optimization techniques
- Extensive experience in metadata management, data lineage, data governance, and data quality frameworks
- Strong experience in data modeling, schema design, and architecting complex graph-based solutions
- Proficiency in programming languages such as Python or Java for graph data processing and querying
- Experience with agile methodologies and understanding of software development lifecycle (SDLC) in enterprise environments
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