What are the responsibilities and job description for the Data Semantics Architect position at Red Arch Solutions?
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.
Key Responsibilities
Taxonomy & Ontology Development
Core
Salary for this role $220-250K #CJ
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.
Key Responsibilities
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.
- 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.
- 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 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.
- 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.
Core
- Taxonomy Development
- Ontology Development
- Semantic Modeling
- Metadata Management
- Data Tagging
- Controlled Vocabularies
- Information Architecture
- Data Governance
- ICD 504
- Information Sharing
- Data Interoperability
- Data Standards
- Metadata Standards
- Zero Trust Concepts
- ABAC
- Data Classification
- Data Labeling
- Data-Centric Security
- Analysis of Alternatives (AoA)
- Requirements Analysis
- Stakeholder Engagement
- Technical Assessments
- Data Standards & Semantics SME
Salary for this role $220-250K #CJ
Salary : $220,000 - $250,000