{"schemaVersion":"jobsearcher.job.v1","id":"01879bd27f2f1e76d87cfc97","url":"https://jobsearcher.com/jobs/01879bd27f2f1e76d87cfc97","canonicalUrl":"https://jobsearcher.com/jobs/01879bd27f2f1e76d87cfc97","title":"APP DEV&TST - Data Architect","description":"Overview\r\nJob Title: Ontologist/Semantic Data Architect\r\nJob Location: Central New Jersey - Lawrenceville\r\nMust Have\r\nBachelor's degree in computer science, Life Science, Information Systems, Computer Engineering or equivalent is required by the EM.\r\n2+ years with data modeling or semantic data engineering\r\n4+ years with semantic data modeling tools such as Protégé, Centree or TopBraid\r\n4+ years with data access languages such as SQL or SPARQL\r\nHighly Preferred\r\nProficient with graph databases such as neo4j, AnzoGraph or Amazon Neptune is highly preferred\r\nProficient with programming languages such as Python, etc. is highly preferred.\r\nJob Purpose\r\nOntologist/Semantic Data Architect: This role involves FAIRification of data and is part of the FAIR Data Services team. This role is responsible for defining opportunities to standardize common business and scientific vocabularies, and to convert both legacy and new datasets into semantically enriched data assets.\r\nKey Responsibilities\r\nAs a member of the Semantic Data Engineering Team, you will support the translation of both legacy and new datasets into semantically enabled data models. Your responsibilities will include making Client research data more Findable, Accessible, Interoperable, and Reusable. Following the evaluation of existing business related process and data, development of semantic ontologies and taxonomies will be developed and used to both graph and harmonize research data. Opportunities to standardize existing vocabularies will be defined, and sematic vocabularies created. You will develop methods for providing access to these semantic data products through queries, APIs, and other programmatic means. In this role, you will collaborate with business partners, subject matter experts and engineering teams.\r\nEducational Qualification\r\nBachelor's degree in Computer Science, Life Science, Information Systems, Computer Engineering or equivalent is preferred.\r\nTechnical/Functional Skills\r\nExperience working in a life sciences or biopharmaceutical environment such as early-stage research, drug discovery, or other biological sciences discipline is preferred.\r\nFamiliarity with data engineering patterns and pipeline tools and processes including SQL vs NoSQL, GRAPHQL, SPARQL, ETL, Data Warehousing, Protégé, GraphQL, DataOps, TopBraid EDG, Centree, Termite.\r\nAble to present your work, both verbally and in writing, to diverse audiences including scientific stakeholders, technical teams, as well as research leadership.\r\nAble to effectively lead, manage, inspire, and influence globally distributed and cross-functional teams.\r\nExperience working in an agile software development environment\r\nExperience in representing and expressing information models (conceptual, logical, entities and their relationships), use of tools such as ER Studio to author such models.\r\nExperience in interpreting and translating Information models (conceptual and logical) to their equivalent semantic models (OWL, RDF etc.) using tools such as Top Braid, Protégé etc.\r\nExperience\r\n5 years of experience with ontologies, taxonomies, RDF/OWL, SHACL, SPARQL, Knowledge Graphs, and related tools\r\n3-5 years data architecture experience\r\n3-5 years of experience in data quality management\r\n3-5 years of experience in metadata management\r\nExperience with graph databases (neo4j, AnzoGraph, Amazon Neptune)\r\nExperience with taxonomy and ontology development tools and industry standard knowledge graph database tooling\r\nExperience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge graph environment\r\nExperience utilizing graph data in a machine learning environment\r\nWorking knowledge of databases, MDM, RDM, warehousing architecture, dimensional modelling, design patterns and strategy\r\nExperience collaborating with cross functional teams\r\nMust be proactive and self-driven, demonstrated initiative and be a logical thinker.\r\nStrong leadership, communication, collaboration skills with a track record of taking solution ownership\r\nJ-18808-Ljbffr","company":"TechDigital Group","rawCompany":"techdigital group","city":"Lawrence Twp","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-08-07T00:47:45.663Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"APP DEV&TST - Data Architect","description":"Overview\r\nJob Title: Ontologist/Semantic Data Architect\r\nJob Location: Central New Jersey - Lawrenceville\r\nMust Have\r\nBachelor's degree in computer science, Life Science, Information Systems, Computer Engineering or equivalent is required by the EM.\r\n2+ years with data modeling or semantic data engineering\r\n4+ years with semantic data modeling tools such as Protégé, Centree or TopBraid\r\n4+ years with data access languages such as SQL or SPARQL\r\nHighly Preferred\r\nProficient with graph databases such as neo4j, AnzoGraph or Amazon Neptune is highly preferred\r\nProficient with programming languages such as Python, etc. is highly preferred.\r\nJob Purpose\r\nOntologist/Semantic Data Architect: This role involves FAIRification of data and is part of the FAIR Data Services team. This role is responsible for defining opportunities to standardize common business and scientific vocabularies, and to convert both legacy and new datasets into semantically enriched data assets.\r\nKey Responsibilities\r\nAs a member of the Semantic Data Engineering Team, you will support the translation of both legacy and new datasets into semantically enabled data models. Your responsibilities will include making Client research data more Findable, Accessible, Interoperable, and Reusable. Following the evaluation of existing business related process and data, development of semantic ontologies and taxonomies will be developed and used to both graph and harmonize research data. Opportunities to standardize existing vocabularies will be defined, and sematic vocabularies created. You will develop methods for providing access to these semantic data products through queries, APIs, and other programmatic means. In this role, you will collaborate with business partners, subject matter experts and engineering teams.\r\nEducational Qualification\r\nBachelor's degree in Computer Science, Life Science, Information Systems, Computer Engineering or equivalent is preferred.\r\nTechnical/Functional Skills\r\nExperience working in a life sciences or biopharmaceutical environment such as early-stage research, drug discovery, or other biological sciences discipline is preferred.\r\nFamiliarity with data engineering patterns and pipeline tools and processes including SQL vs NoSQL, GRAPHQL, SPARQL, ETL, Data Warehousing, Protégé, GraphQL, DataOps, TopBraid EDG, Centree, Termite.\r\nAble to present your work, both verbally and in writing, to diverse audiences including scientific stakeholders, technical teams, as well as research leadership.\r\nAble to effectively lead, manage, inspire, and influence globally distributed and cross-functional teams.\r\nExperience working in an agile software development environment\r\nExperience in representing and expressing information models (conceptual, logical, entities and their relationships), use of tools such as ER Studio to author such models.\r\nExperience in interpreting and translating Information models (conceptual and logical) to their equivalent semantic models (OWL, RDF etc.) using tools such as Top Braid, Protégé etc.\r\nExperience\r\n5 years of experience with ontologies, taxonomies, RDF/OWL, SHACL, SPARQL, Knowledge Graphs, and related tools\r\n3-5 years data architecture experience\r\n3-5 years of experience in data quality management\r\n3-5 years of experience in metadata management\r\nExperience with graph databases (neo4j, AnzoGraph, Amazon Neptune)\r\nExperience with taxonomy and ontology development tools and industry standard knowledge graph database tooling\r\nExperience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge graph environment\r\nExperience utilizing graph data in a machine learning environment\r\nWorking knowledge of databases, MDM, RDM, warehousing architecture, dimensional modelling, design patterns and strategy\r\nExperience collaborating with cross functional teams\r\nMust be proactive and self-driven, demonstrated initiative and be a logical thinker.\r\nStrong leadership, communication, collaboration skills with a track record of taking solution ownership\r\nJ-18808-Ljbffr","datePosted":"2026-08-07T00:47:45.663Z","dateModified":"2026-08-07T00:47:45.663Z","hiringOrganization":{"@type":"Organization","name":"TechDigital Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lawrence Twp","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"01879bd27f2f1e76d87cfc97"},"url":"https://jobsearcher.com/jobs/01879bd27f2f1e76d87cfc97"}}