Data Ontologist Expert for Semantic Data Architecture
1 week ago
Intellibus is a Large Financial Institution that values hands-on and detail-oriented individuals who think and work like a start-up. Our Platform Engineering Team is working to solve the Multiplicity Problem, which requires the skills of a Data Ontologist like you.
About the JobThis role involves creating and maintaining ontologies, taxonomies, and data models that structure information in a meaningful way, making it easy to access, integrate, and interpret across systems.
- Create and maintain ontologies, taxonomies, and data models to ensure semantic consistency across systems.
- Implement semantic technologies such as RDF, OWL, and SPARQL to build knowledge graphs and enhance data interoperability.
- Collaborate with business stakeholders and domain experts to standardize data across systems.
You will also be responsible for defining and managing metadata to enhance data usability, supporting projects like search optimization, data integration, and machine learning models.
About YouWe are looking for an experienced Data Ontologist with 8+ years of experience in data management, including at least 5+ years focused on ontology design, semantic web technologies, or knowledge representation.
- Proficiency in ontology languages such as RDF, OWL, and query languages like SPARQL.
- Strong understanding of metadata management, data integration, and data interoperability.
- Familiarity with machine learning and AI concepts.
In return, you can expect a salary of $120 per hour and a full-time schedule from Monday to Friday. If you have 7 years of experience as a Data Ontologist, this is a great opportunity to join our team and contribute to solving the Multiplicity Problem.
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