Description :
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. 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 45 years in ontology or data architecture roles.Hands-on experience with ontology design tools and frameworks (Protégé, 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(ref : hirist.tech)