Information Technology_USA - USA_Developer

SysMind Tech

$108K — $130K *
Tampa, FL 33647In-Person
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in ontology design/knowledge graphs.
  • Proficient in RDF, OWL, SHACL, and SPARQL.
  • Experience with semantic data modelers like Stardog or GraphDB.
  • Expert in versioning and change management of ontologies.
  • Strong understanding of data quality and validation rules.

Responsibilities

  • Design and evolve a privacy-focused semantic model capturing key concepts and constraints.
  • Translate complex business and regulatory requirements into actionable ontologies.
  • Define data quality and validation rules for audit and compliance needs.
  • Develop semantic ingestion patterns and map various data sources.
  • Collaborate with product, engineering, and data teams to optimize model performance.
  • Implement ontology versioning and manage changes effectively.,
  • Ensure the model supports efficient consumption through dashboards, APIs, and web UIs.

Benefits

  • Flexible work-from-home arrangements in a remote-first environment.
  • Opportunities for collaboration with cross-functional teams.
  • Chance to work on high-impact projects in compliance and privacy.
  • Access to cutting-edge technology and tools in data modeling.
Full Job Description
**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES

PTN_US_GBAMSREQID_CandidateBeelineID


Bill Rate: market rate/hr

GBaMS ReqID: 10595052
MSP Owner: Tory Robinson
Location: Tampa, FL - REMOTE
Duration: 6 + months

Ontology Business Consultant

Ontology Consultant:
• Titles: Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic Modeler Lead, Ontology Consultant.
• Tech stack: RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph, Neptune), Protégé, SKOS taxonomies.
• Experience: designing ontologies/knowledge graphs, translating business requirements into semantic models, integrating multiple source systems, defining validation rules and constraints.
• Stardog and SPARQL (preferred)
• Ontology versioning and change management
• Ensuring the model can be efficiently consumed by dashboards (Power BI), APIs, web UIs, and audit exports

Role Descriptions: Job DescriptionWe are seeking an experienced Ontologist to design and evolve a privacy-focused semantic model that captures key concepts| relationships| and constraints. The ideal candidate will translate complex business and regulatory requirements into a practical ontology that supports actionable competency questions for privacy| compliance| and audit purposes.Key Responsibilities Were looking for an ontologist who canDesign and evolve a privacy-focused semantic model (key concepts| relationships| constraints)Translate business and regulatory requirements into a practical ontology that supports real competency questionsDefine data quality and validation rules aligned to audit and compliance needsDesign semantic ingestion patterns and map various data source systemsPartner closely with product| engineering| and data teams to ensure the model is performant| queryable| and fit for delivery From a tooling and delivery perspective| this includes experience withStardog and SPARQL (preferred)Ontology versioning and change managementEnsuring the model can be efficiently consumed by dashboards (Power BI)| APIs| web UIs| and audit exports
Essential Skills: Job DescriptionWe are seeking an experienced Ontologist to design and evolve a privacy-focused semantic model that captures key concepts| relationships| and constraints. The ideal candidate will translate complex business and regulatory requirements into a practical ontology that supports actionable competency questions for privacy| compliance| and audit purposes.Key Responsibilities Were looking for an ontologist who canDesign and evolve a privacy-focused semantic model (key concepts| relationships| constraints)Translate business and regulatory requirements into a practical ontology that supports real competency questionsDefine data quality and validation rules aligned to audit and compliance needsDesign semantic ingestion patterns and map various data source systemsPartner closely with product| engineering| and data teams to ensure the model is performant| queryable| and fit for delivery From a tooling and delivery perspective| this includes experience withStardog and SPARQL (preferred)Ontology versioning and change managementEnsuring the model can be efficiently consumed by dashboards (Power BI)| APIs| web UIs| and audit exports
Desirable Skills:
Keyword:
Skills: Digital : Machine Learning~AI & Gen AI - Products & Tools~Cognos Data Integration
Experience Required: 10 & Above

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