Ontology Solution Architect

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Cortex is Hiring for Ontology Solution Architect

The ideal candidate will be responsible for designing and implementing a scalable governed ontology layer that forms the backbone for Enterprise Data and Analytics ecosystem. This role involves close collaboration with the Enterprise Architect Ontology Business Analyst and Data Engineering teams to design ontology-driven data models metadata standards and integration patterns that enable seamless data sharing and interoperability across organization platforms. g enterprise-wide adoption and compliance with Responsible AI and data governance principles.

Key Responsibilities
Ontology Design & Architecture : Design and develop enterprise ontology frameworks and models aligned with Orgs Enterprise Data Architecture (EDA) and DSaaS principles.

Integration & Implementation : Architect and implement ontology integration pipelines using GraphDB/Neo4j and cloud data stores.

Governance & Standards : Define ontology versioning metadata governance and lifecycle management practices.
Collaboration & Delivery Enablement : Partner closely with the Enterprise Architect to align ontology designs with enterprise architecture blueprints.

Technical Qualifications

12 years of IT experience with at least 4 5 years in ontology or data architecture roles.
Hands-on experience with ontology design tools and frameworks (Prot g TopBraid PoolParty or similar).
Strong understanding of RDF OWL SPARQL SKOS and SHACL standards for ontology modeling.
Experience implementing enterprise knowledge graphs using Neo4j GraphDB or equivalent graph databases.
Working knowledge of data integration and API-based ontology consumption (REST GraphQL).
Familiarity with metadata management and data catalog tools (Informatica Collibra Unity Catalog).
Proficiency with Databricks or AWS-based data platforms (S3 Glue Lambda Redshift).
Understanding of AI/ML and NLP-driven ontology enrichment and semantic search concepts.
Understanding of natural language models and context-based search applications.

Minimum Eligibility
Bachelors degree in Computer Science Engineering or Information Systems (Masters preferred).
Certification in Data Architecture Semantic Technologies or Cloud Platforms (AWS/Azure/GCP) preferred.
Minimum 10 years of total experience with strong exposure to ontology or semantic data solutions.

If you are interested please apply here and our recruiter wll contact you soon after reviwing your profile.

This job is posted by

Aishwarya.K

Cortex Consultants.

Cortex is Hiring for Ontology Solution Architect The ideal candidate will be responsible for designing and implementing a scalable governed ontology layer that forms the backbone for Enterprise Data and Analytics ecosystem. This role involves close collaboration with the Enterprise Architect O...

Cortex is Hiring for Ontology Solution Architect

Key Responsibilities
Ontology Design & Architecture : Design and develop enterprise ontology frameworks and models aligned with Orgs Enterprise Data Architecture (EDA) and DSaaS principles.

Integration & Implementation : Architect and implement ontology integration pipelines using GraphDB/Neo4j and cloud data stores.

Technical Qualifications

12 years of IT experience with at least 4 5 years in ontology or data architecture roles.
Hands-on experience with ontology design tools and frameworks (Prot g TopBraid PoolParty or similar).
Strong understanding of RDF OWL SPARQL SKOS and SHACL standards for ontology modeling.
Experience implementing enterprise knowledge graphs using Neo4j GraphDB or equivalent graph databases.
Working knowledge of data integration and API-based ontology consumption (REST GraphQL).
Familiarity with metadata management and data catalog tools (Informatica Collibra Unity Catalog).
Proficiency with Databricks or AWS-based data platforms (S3 Glue Lambda Redshift).
Understanding of AI/ML and NLP-driven ontology enrichment and semantic search concepts.
Understanding of natural language models and context-based search applications.