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Manager Semantic Jobs in Virginia (NOW HIRING)

Senior Database Engineer

Herndon, VA · On-site

$109K - $148K/yr

... management. This position develops scalable data architectures that support Semantic Web technologies, knowledge graphs, and AI/ML-enabled analytics while ensuring high availability, security ...

Senior Database Engineer

Herndon, VA · On-site

$109K - $148K/yr

... management. This position develops scalable data architectures that support Semantic Web technologies, knowledge graphs, and AI/ML-enabled analytics while ensuring high availability, security ...

... management. This position develops scalable data architectures that support Semantic Web technologies, knowledge graphs, and AI/ML-enabled analytics while ensuring high availability, security ...

... management. This position develops scalable data architectures that support Semantic Web technologies, knowledge graphs, and AI/ML-enabled analytics while ensuring high availability, security ...

Ontology Engineer (TS/SCI)

Herndon, VA · On-site

$137K - $200K/yr

Establish and maintain semantic data integration frameworks that enable interoperability across internal and external object-management systems. * Collaborate with analysts, data scientists ...

Establish and maintain semantic data integration frameworks that enable interoperability across internal and external object-management systems. * Collaborate with analysts, data scientists ...

Establish and maintain semantic data integration frameworks that enable interoperability across internal and external object-management systems. * Collaborate with analysts, data scientists ...

Work with Big Data Engineers to translate architecture standards into implementable pipeline, storage, and semantic design patterns. * Partner with the Manager, Unified Data Platform and AI ...

Data Architect

Chester, VA · On-site

$118K - $178K/yr

Work with Big Data Engineers to translate architecture standards into implementable pipeline, storage, and semantic design patterns. * Partner with the Manager, Unified Data Platform and AI ...

Develop APIs and backend services that integrate with enterprise ontologies, knowledge graphs, semantic databases, and object-management systems. * Implement software solutions that leverage Semantic ...

Data Architect

Hopewell, VA · On-site

$57 - $73.25/hr

... semantic design patterns. • Partner with the Manager, Unified Data Platform and AI Engineering on platform roadmap, architecture decisions, and technical debt prioritization. • Produce ...

Data Architect

Chester, VA · On-site

$58.75 - $75.50/hr

... semantic design patterns. • Partner with the Manager, Unified Data Platform and AI Engineering on platform roadmap, architecture decisions, and technical debt prioritization. • Produce ...

... management efforts through ontology-driven solutions. • Provide technical leadership and guidance on ontology development, semantic technologies, and emerging industry best practices. Required ...

Showing results 21-40

Manager Semantic information

What is the difference between Manager Semantic vs Data Analyst?

AspectManager SemanticData Analyst
Required CredentialsBachelor's degree in relevant field, often with certifications in semantic technologies or data managementBachelor's degree in data science, statistics, or related field; certifications in data analysis tools are common
Work EnvironmentTeam leadership, strategic planning, overseeing semantic projectsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in tech, AI, and data-driven companies managing semantic dataUsed across industries for data interpretation and decision-making

The main difference is that a Manager Semantic focuses on overseeing semantic data projects and managing teams, while a Data Analyst primarily analyzes data to generate insights. Both roles require strong analytical skills, but the Manager Semantic emphasizes project management and semantic technologies, whereas the Data Analyst concentrates on data interpretation and reporting.

What are the titles for top level managers?

Top-level managers in organizations are typically called executives, such as Chief Executive Officer (CEO), Chief Operating Officer (COO), Chief Financial Officer (CFO), and President. These roles are responsible for setting strategic goals, making high-level decisions, and overseeing overall company performance. They often hold advanced degrees and extensive leadership experience.

What are popular job titles related to Manager Semantic jobs in Virginia?

For Manager Semantic jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Manager Semantic jobs?

Cities in Virginia with the most Manager Semantic job openings:

Infographic showing various Manager Semantic job openings in Virginia as of June 2026, with employment types broken down into 45% Full Time, 49% Part Time, 3% Temporary, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Senior Database Engineer

Platinum Technologies

Herndon, VA • On-site

$109K - $148K/yr

Full-time

Posted 14 days ago


Job description

Who we are.

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients. 

 

This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.

You.

Platinum Technologies is a Senior Database Engineer to join our team. In this position you will design, develop, implement, and maintain the database infrastructure supporting Object-Based Intelligence (OBI) mission requirements, enterprise ontologies, and knowledge graph platforms.

The Sneior Database Engineer serves as the technical authority for the design, implementation, optimization, and administration of relational, graph, and semantic database technologies that enable ontology-driven data integration and knowledge management. This position develops scalable data architectures that support Semantic Web technologies, knowledge graphs, and AI/ML-enabled analytics while ensuring high availability, security, performance, and data integrity across enterprise object-management systems. Working closely with ontology engineers, software developers, data architects, and Government stakeholders, the Database Engineer enables efficient storage, retrieval, and management of structured and unstructured data supporting mission operations.

 

What you get to do.

  • Design, implement, administer, and optimize relational, graph, and semantic database environments supporting Object-Based Intelligence mission requirements.
  • Develop logical and physical data models that support ontologies, taxonomies, knowledge graphs, and enterprise metadata management.
  • Design and implement scalable database architectures that support Semantic Web technologies, including RDF triple stores, graph databases, and SPARQL query endpoints.
  • Develop and maintain Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes that integrate heterogeneous data sources into enterprise knowledge management platforms.
  • Collaborate with ontology engineers, software developers, data scientists, analysts, and Government stakeholders to translate mission requirements into efficient database designs and data integration solutions.
  • Optimize database performance through indexing strategies, query optimization, partitioning, replication, and capacity planning to support large-scale analytics and semantic reasoning workloads.
  • Implement database security controls, encryption, access management, backup and recovery procedures, and auditing capabilities in accordance with Government cybersecurity requirements.
  • Develop database automation, monitoring, and maintenance processes to ensure high availability, reliability, and operational efficiency.
  • Support AI/ML initiatives by providing scalable data infrastructure and optimized access to structured, semi-structured, and semantic data repositories.
  • Produce and maintain technical documentation, database standards, data dictionaries, configuration management artifacts, and operational procedures.
  • Provide technical leadership, mentoring, and knowledge transfer activities to Government personnel and project team members regarding database architecture, administration, and data management best practices.

 

Required Skills.

  • Must be a U.S. citizen and have an active TS/SCI with CI polygraph.
  • Minimum twelve (12) years of experience and an advanced degree or 17 years of experience with a bachelor's degree.
  • Demonstrated experience designing, implementing, and administering enterprise database solutions supporting mission-critical applications.
  • Experience with relational database management systems (e.g., PostgreSQL, Oracle, Microsoft SQL Server) and graph database technologies (e.g., Neo4j, Amazon Neptune, Stardog, GraphDB, or equivalent).
  • Experience designing and optimizing databases supporting Semantic Web technologies, RDF data stores, or knowledge graph platforms.
  • Experience developing ETL/ELT processes and integrating structured, semi-structured, and unstructured data from multiple enterprise sources.
  • Knowledge of database performance tuning, indexing, backup and recovery, replication, security, and high-availability architectures.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.