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Semantic Modeling Jobs (NOW HIRING)

Semantic Architect

Philadelphia, PA · On-site

$160K - $177K/yr

Semantic Strategy & Design ... Lead the architectural design of enterprise Knowledge Graphs, including RDF/Property graph modeling ...

Showing results 21-40

Semantic Modeling information

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$55.5K

$118.7K

$173.5K

How much do semantic modeling jobs pay per year?

As of Sep 10, 2026, the average yearly pay for semantic modeling in the United States is $118,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $133,500.00 per year, depending on experience, location, and employer.

What is semantic modeling?

Semantic modeling is the process of creating structured representations of data that capture the meaning, relationships, and context of information within a specific domain. It involves defining entities, attributes, and the connections between them, often using ontologies or conceptual models. Semantic modeling is widely used in areas like knowledge graphs, data integration, and artificial intelligence to ensure that systems can interpret and use data accurately. By providing a common understanding of data, semantic models enable better interoperability, data quality, and decision-making across different applications.

What are the key skills and qualifications needed to thrive as a semantic modeler, and why are they important?

To thrive as a Semantic Modeler, you need a strong background in data modeling, ontology design, and domain-specific knowledge, often supported by a degree in computer science or information science. Familiarity with semantic web technologies such as RDF, OWL, SPARQL, and tools like Protégé is typically required, along with experience in database management systems. Analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating with stakeholders and translating complex requirements into structured models. These skills ensure the creation of accurate, reusable, and scalable semantic models that support data interoperability and meaningful information retrieval.

What are some common challenges faced by professionals working in semantic modeling, and how can they be addressed?

Professionals in Semantic Modeling often encounter challenges such as aligning diverse data sources, ensuring consistency in ontologies, and effectively communicating complex models to non-technical stakeholders. Addressing these challenges typically involves collaborating closely with domain experts, using standardized vocabularies, and leveraging tools that support visualization and validation of semantic structures. Regular team reviews and iterative refinement of models can also help ensure accuracy and usability, making collaboration and adaptability key aspects of success in this field.

What is the difference between Semantic Modeling vs Data Modeling?

AspectSemantic ModelingData Modeling
PurposeFocuses on capturing meaning and relationships within data to improve understanding and interoperabilityDefines how data is structured, stored, and accessed in databases
CredentialsOften requires knowledge of ontologies, knowledge representation, and sometimes domain-specific expertiseTypically requires understanding of database design, normalization, and data architecture
Work EnvironmentUsed in knowledge graphs, AI, and semantic web projectsUsed in relational, NoSQL, and data warehouse environments
Industry UsageCommon in AI, semantic web, and information integration projectsCommon in software development, database administration, and data engineering

Semantic Modeling and Data Modeling are related but serve different purposes. Semantic Modeling emphasizes understanding and representing the meaning of data, often used in AI and knowledge systems. Data Modeling focuses on structuring data efficiently within databases. Both are essential for effective data management but are applied in different contexts.

What other helpful pages are available for Semantic Modeling?

Other pages related to Semantic Modeling:

Infographic showing various Semantic Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $118,674 per year, or $57.1 per hour.

Lead Analytics Semantic Engineer

East Hartford, CT • On-site

Sensiple Inc.
IT Services • 201 - 500 employees

$101K - $134K/yr

Other

Posted 2 days ago

New


Job description

Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.

With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.

By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them  to a better future.

One of our clients is looking for Lead Analytics Semantic Engineer -Onsite Please find below the details of the position.                                 

Job Title: Lead Analytics Semantic Engineer

Job Location: Hartford, CT OR Minneapolis, MN (Need locals only)

Skill Cluster: Data-Azure Synapse with Azure Databricks, ADF, ADLS, Azure SQL, Azure Functions.

Primary Skill: BI Testing, Databricks Data platform

Job Duration: 3-6 Months

Job Description:

Analytics Semantic Engineers Responsible for designing and implementing the semantic layer.

Preferred Experience:

·       Semantic modeling

·       Metric and KPI standardization

·       Business glossary development

·       Financial reporting concepts

·       Semantic technologies supporting BI and AI consumption

·       Responsible for designing and implementing the semantic layer.

Regards

Sangeetha| Sensiple Inc.,

sangeetha dot p at sensiple dot com

555 US Highway 1 S, Ste 330 Iselin, NJ 08830

Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, national origin, veteran or disability status.ing