

Senior Semantic Data Modeler
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Semantic Data Modeler on a contract basis, offering a remote work location and requiring 7+ years of experience in semantic modeling, knowledge graph development, and expertise with Amazon Neptune and SPARQL.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
-
ποΈ - Date discovered
July 12, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Amazon Neptune #Databases #Scrum #Scala #ERWin #PostgreSQL #Agile #Data Modeling #Cloud #NoSQL #SQL (Structured Query Language) #Knowledge Graph #AWS (Amazon Web Services)
Role description
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Job Title: Senior Semantic Data Modeler
Location: : Remote
Job Type: Contract
What is in it for you?
As a Senior Semantic Data Modeler leading ontology and knowledge graph design using Amazon Neptune, SPARQL, and semantic web standards to architect scalable, cloud-based data solutions.
Responsibilities: -
β’ STEM field with 7+ years of hands-on work experience with a significant portion dedicated to semantic modeling and knowledge graph development, including experience in a lead or senior capacity.
β’ Deep and demonstrated expertise in designing, building, and managing ontologies, knowledge graphs, and property graphs.
β’ Extensive experience with leading graph database platforms (e.g., Amazon Neptune) and advanced proficiency in graph query languages (e.g., SPARQL).
β’ Strong working knowledge of OWL, RDFS, SHACL, and other semantic web standards.
β’ Experience with enterprise data modeling tools (e.g., Erwin) and specialized ontology/graph modeling tools
β’ Strong understanding and hands-on experience with relational databases (SQL) and familiarity with NoSQL databases (e.g., PostgreSQL).
β’ Proven ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, and to lead collaborative efforts across diverse teams.
β’ Demonstrated ability to analyze complex data challenges, identify root causes, and architect strategic, scalable solutions within a semantic context.
β’ Practical experience with AWS services related to data and ELT methodologies is often preferred.
β’ Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions.
β’ Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.