Architect📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
Job Description
About the Role
Cognizant is seeking a highly experienced Architect to lead the definition, design, and initial implementation of its Enterprise Ontology, Knowledge Graph (KG), and Semantic Layer program. This full-time role, based in Riyadh, Saudi Arabia, is strategic and foundational, requiring deep technical expertise combined with enterprise architecture experience and a proven track record in delivering large-scale ontology and knowledge graph programs.
Key Responsibilities
- Define the target-state architecture and strategy for the Enterprise Ontology, Knowledge Graph, and Semantic Layer.
- Design enterprise semantic models, taxonomies, and ontologies aligned with business and data domains.
- Develop the roadmap, governance framework, standards, and operating model for the program.
- Lead the initial implementation phases and guide the development of foundational ontology and KG capabilities.
- Identify and prioritize business use cases and quick wins for semantic technologies.
- Ensure alignment with Data Governance, Metadata Management, MDM, Data Products, Data Catalog, and AI initiatives.
- Advise on tooling, platform selection, and architecture decisions related to the semantic layer.
- Build internal capability through knowledge transfer and mentoring within the team.
Required Experience and Qualifications
- A minimum of 10 years of experience in Data Architecture, Semantic Technologies, Knowledge Engineering, and Management.
- Proven experience designing and implementing enterprise ontologies and knowledge graphs.
- Demonstrated success in leading enterprise-scale ontology initiatives, knowledge graph implementations, and semantic architecture programs.
- Experience leveraging ontologies and knowledge graphs to support AI, GenAI, RAG, enterprise search, and knowledge management use cases.
- Excellent stakeholder management and communication skills, with the ability to engage both executive and technical audiences.
Core Understanding and Skills
- Strong understanding of Ontology engineering, Taxonomy development, Knowledge representation, and Semantic modeling.
- Strong understanding of Metadata management, Data Governance, Metadata Management, Enterprise Architecture, and Business Architecture.
- Experience defining target-state enterprise semantic architectures.
Technical Expertise
Candidates must possess deep experience with several of the following technologies:
- RDF, OWL, RDFS, SKOS, SPARQL, SHACL, Property Graphs, LPG and RDF graph models, Semantic reasoning and inferencing.
Familiarity with Knowledge Graph Platforms such as:
- Stardog, GraphDB, TopBraid, PoolParty, Neo4j, Amazon Neptune, Microsoft Fabric / Purview semantic capabilities, Databricks knowledge graph ecosystem, and other enterprise KG platforms.
Work Location and Type
This is a full-time position located in Riyadh, Riyadh, Saudi Arabia.
Requirements
- Requires 5-10 Years experience
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