Data Semantics Architect

redarchsolutions; Reston (VA); On-site; USD 220,000 - 250,000; Full time

Benefits offered by this job

100% paid employee healthcare premiums

HaloScripts Concierge prescription

Generous PTO

10% 401K with 6% match

Annualized bonus compensation

Spot bonuses

Tuition reimbursement

529 College Saving Plan

College Loan Pay Back Program

11 Paid Federal Holidays

Generous Referral Bonuses

Job summary

Red Arch Solutions seeks a Data Semantics Architect to lead semantic modeling, taxonomy and ontology development, and metadata strategies that enable ABAC and Zero Trust data-centric security across DoD/intel environments.

You will align semantic standards with ICD 504, governance needs, and information sharing while collaborating with Data Governance SMEs, Security, and Data Engineers to advance metadata-driven discovery and controlled access.

Qualifications

• Bachelor’s degree in computer science, information systems, information management, data science or related field.
• Minimum 16 years of experience supporting enterprise data management, metadata governance, taxonomy development, ontology engineering, semantic modeling, and data standards initiatives.
• Experience developing data tagging strategies, metadata frameworks, and semantic structures for Federal/DoD/Intelligence Community environments.

Responsibilities

• Develop and maintain enterprise taxonomies, controlled vocabularies, and ontologies.
• Define relationships between data entities, business concepts, and mission functions.
• Establish standards for semantic consistency across organizational data assets.
• Support development of common data definitions and business glossaries.
• Design enterprise data tagging and labeling frameworks.
• Define metadata models supporting governance, discovery, access control, and information sharing.
• Establish standards for data classification and attribute assignment.
• Lead AoAs evaluating semantic technologies, tagging approaches, metadata frameworks, and interoperability solutions.
• Analyze industry and government best practices for semantic modeling and data organization.
• Develop recommendations for implementation and adoption.
• Present findings and technical recommendations to stakeholders and governance bodies.
• Develop metadata structures that support ABAC and Zero Trust objectives.
• Partner with security teams to define data attributes used for policy enforcement.
• Support data-centric security controls and Zero Trust initiatives.
• Ensure tagging strategies align with classification, dissemination, and access requirements.
• Align taxonomy and ontology efforts with ICD 504 and information-sharing requirements.
• Promote interoperability across systems, domains, and mission partners.
• Support creation of authoritative semantic models and reference data structures.

Education

Bachelor’s degree in computer science, Information Systems, Information Management, Data Science, or related field

16+ years of experience in enterprise data management, metadata governance, taxonomy development, ontology engineering, semantic modeling, and data standards initiatives

Job description

Position Summary

The Data Semantics Architect supports enterprise data management initiatives through the development of taxonomies, ontologies, semantic models, and data tagging strategies that improve data discoverability, interoperability, governance, and access control. The position leads analyses of alternatives (AoAs) and evaluates frameworks, standards, and approaches for structuring and classifying enterprise data assets in support of ICD 504, data governance, and Zero Trust objectives. The Data Semantics Architect works closely with Data Governance SMEs, Data Stewards, Security teams, and Data Engineers to establish semantic frameworks that enable metadata-driven discovery, attribute-based access control (ABAC), and mission-focused analytics.

Taxonomy & Ontology Development

• Develop and maintain enterprise taxonomies, controlled vocabularies, and ontologies.


• Define relationships between data entities, business concepts, and mission functions.


• Establish standards for semantic consistency across organizational data assets.


• Support development of common data definitions and business glossaries.

Data Tagging & Metadata Strategy

• Design enterprise data tagging and labeling frameworks.


• Define metadata models supporting governance, discovery, access control, and information sharing.


• Establish standards for data classification and attribute assignment.


• Support metadata enrichment and automated tagging capabilities.

Analysis of Alternatives (AoA)

• Lead AoAs evaluating semantic technologies, tagging approaches, metadata frameworks, and interoperability solutions.


• Analyze industry and government best practices for semantic modeling and data organization.


• Develop recommendations for implementation and adoption.


• Present findings and technical recommendations to stakeholders and governance bodies.

Zero Trust & Data-Centric Security

• Develop metadata structures that support Attribute-Based Access Control (ABAC).


• Partner with security teams to define data attributes used for policy enforcement.


• Support implementation of data-centric security controls and Zero Trust initiatives.


• Ensure tagging strategies aligning with classification, dissemination, and access requirements.

Data Governance & Interoperability

• Support enterprise data governance initiatives through semantic standardization.


• Align taxonomy and ontology efforts with ICD 504 and organizational information-sharing requirements.


• Promote interoperability across systems, domains, and mission partners.


• Support creation of authoritative semantic models and reference data structures.

Required Skills

Core

• Taxonomy Development


• Ontology Development


• Semantic Modeling


• Metadata Management


• Data Tagging


• Controlled Vocabularies


• Information Architecture


• Data Governance

Data Sharing & Policy

• ICD 504


• Information Sharing


• Data Interoperability


• Data Standards


• Metadata Standards

Security

• Zero Trust Concepts


• ABAC


• Data Classification


• Data Labeling


• Data-Centric Security

Strategic

• Analysis of Alternatives (AoA)


• Requirements Analysis


• Stakeholder Engagement


• Technical Assessments

• Data Standards & Semantics SME

Bachelor’s degree in computer science, Information Systems, Information Management, Data Science, or related field and a minimum of ten (16) years of experience supporting enterprise data management, metadata governance, taxonomy development, ontology engineering, semantic modeling, and data standards initiatives. Experience developing data tagging strategies, metadata frameworks, and semantic structures that support data discoverability, interoperability, information sharing, and Zero Trust data-centric security objectives within Federal, DoD, or Intelligence Community environments.

Salary for this role $220-250K #CJ

Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

Red Arch Solutions benefits snapshot:

• 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.


• HaloScripts Concierge prescription medication service


• Generous PTO.


• 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.


• Annualized bonus compensation.


• Spot bonuses for hard work.


• Tuition reimbursement.


• 529 College Saving Plan.


• College Loan Pay Back Program.


• 11 Paid Federal Holidays


• Generous Referral Bonuses.

Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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