Data Modeler

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Graph Databases Good to have skills : Neo4j Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding existing data structures and designing new data models that align with business needs and technical requirements. This position requires continuous collaboration to ensure that data models are accurate, efficient, and scalable, supporting both current and future organizational objectives. The Data Modeler plays a vital role in bridging the gap between business goals and technical implementation through detailed data modeling activities and iterative refinement. Roles & Responsibilities: -Design and develop formal ontologies, taxonomies, and controlled vocabularies using OWL, RDFS, and SKOS. - Elicit and model domain knowledge through structured interviews and workshops with subject-matter experts. - Integrate ontologies with knowledge graph infrastructure (e.g. Neo4j, Amazon Neptune, Stardog) and validate consistency using reasoners such as HermiT or Pellet. - Write and maintain SPARQL queries and SHACL/ShEx constraints to validate data conformance. - Align internal models with industry standards and open standards such as schema.org, Dublin Core, or domain-specific vocabularies. - Establish versioning, documentation, and governance practices for ontology lifecycle management. - Support downstream AI/ML teams by providing semantically enriched data for entity resolution, recommendation, and question-answering systems. - Required qualifications - Degree in computer science, information science, linguistics, or a related field (or equivalent experience) Hands-on experience with OWL 2, RDF, RDFS, and SKOS - Proficiency with Prot g or equivalent ontology authoring tools - Strong understanding of description logics and formal semantics - Scripting ability in Python for ontology processing and ETL tasks - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and refinement of data models to ensure alignment with business strategies and technical standards. - Facilitate communication between technical teams and business stakeholders to clarify data requirements and resolve ambiguities. - Mentor junior team members by providing guidance on best practices in data modeling and database design. Professional & Technical Skills: