Ontology/Context Specialist
- Toronto, ON, Canada
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Original job description
Hello,
Please find below JD and let me know your interest with an updated resume here.
Ontology/Context Specialist
TORONTO, Canada- Work from Virtusa Office
6-12 Months Contract
Canada
Note: Client looking Snowflakes Pro Advance
Skill Cluster : Data-Oracle ODI with Python/Scala/Java/.NET, ANSI SQL compliant, Traditional Or Cloud DB, Pipeline orchestration.
Primary Skill : Graphs API, Context Engineering, Business Modelling
Experience : 10 years
Job Description :
- Job Requirements p1c3tsts Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.
- Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned to real-world business processes.
- Build and manage knowledge graphs that standardize meaning across datasets and systems.• Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.
- Ensure semantic models remain consistent, extensible, and understandable as business needs evolve.• Collaborate with data and platform teams to integrate semantic models into data platforms, while publishing and documenting reusable semantic artifacts and best practices What you'll bring to the role:
- At least 6 years of professional experience with hands-on work in semantic modelling, knowledge graphs, or ontology development and a Bachelor’s degree or equivalent practical experience
- Practical experience designing and applying ontologies or semantic models inreal-world data environments.
- Working knowledge of semantic web technologies (e.g., RDF, RDFS, OWL) and modeling complex data relationships. Experience with Knowledge Graph platforms and tooling (e.g., Neo4j) and modern graph-enabled AI approaches such as GraphRAG is a strong plus.
- Ability to translate business concepts into structured semantic representations.
- Familiarity with Python for data work, automation, or supporting semantic work flows and AI
- Strong communication skills, comfort collaborating with technical and non-technical partners
- Exposure to one or more of the following areas is a plus: Collibra or other AI/MLDQ solutions
- Data Stewardship, metadata management, data lineage, and master data management
- Business intelligence tools and automation platforms Semantic models Ontology Knowledge graph Work Experience 7-10Years
More about this job
Responsibilities
Partner with business experts to define data concepts and relationships, and design and maintain ontologies, taxonomies, semantic models, and knowledge graphs. Integrate semantic models with data platforms and publish reusable semantic artifacts and best practices.
Requirements
Requires hands-on experience in ontology development, semantic modeling, or knowledge graphs, with practical knowledge of RDF, RDFS, OWL, and complex data relationships. A bachelor's degree or equivalent practical experience is specified; Python experience and strong collaboration and communication skills are expected, while Neo4j, GraphRAG, and data governance tools are advantageous.
Skills
- Ontology Development
- Semantic Modeling
- Knowledge Graphs
- RDF
- RDFS
- OWL
- Graph APIs
- Context Engineering
- Business Modeling
- Python
- GraphRAG
- Neo4j
- Data Stewardship
- Metadata Management
- Data Lineage
- Master Data Management
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
Keywords
- Ontology
- Context Engineering
- Business Modeling
- Semantic Modeling
- Knowledge Graphs
- Graph APIs
- RDF
- RDFS
- OWL
- GraphRAG
- Neo4j
- Python
- Scala
- Java
- .NET
- ANSI SQL
- Oracle Data Integrator
- Snowflake
- Data Pipelines
- Pipeline Orchestration
- Data Stewardship
- Metadata Management
- Data Lineage
- Master Data Management
- Collibra
- AI/ML Data Quality
- Business Intelligence
- Taxonomies
- Semantic Web
- Data Platforms