Must Have Technical/Functional Skills
Experienced Enterprise / Semantic Architect to define and govern enterprise-level architecture, semantic
models, and ontology-driven solutions across platforms and domains. The role focuses on enabling
interoperability, data consistency, and semantic alignment across systems while supporting scalable,
standards-based enterprise architectures.
Roles & Responsibilities
• Define and maintain enterprise and semantic architecture frameworks aligned with business
strategy
• Design and govern semantic models, ontologies, and taxonomies for enterprise systems
• Enable data and system interoperability across platforms and domains
• Establish architecture standards, guidelines, and best practices
• Collaborate with business, product, and engineering teams to translate requirements into
architecture designs
• Review and guide solution designs to ensure semantic consistency and architectural compliance • Support integration, API, and data architecture initiatives with semantic alignment • Drive adoption of industry standards and reference models where applicable • Participate in architecture reviews, design discussions, and technical governance forums • Strong understanding of enterprise architecture frameworks and design principles • Hands-on experience designing semantic models, ontologies, or controlled vocabularies • Knowledge of data modeling, metadata management, and information architecture • Experience with system integration, APIs, and data exchange patterns • Ability to work across business and technology teams to drive architectural alignment • Strong communication and documentation skills
Generic Managerial Skills, If any
Experience working in agile development projects and sprint deliver
Key Words to search in Resume
Enterprise Architect, Semantic Architect, Ontology, Taxonomy, Semantic Modeling, Data Architecture,
Interoperability, Architecture Governance
Pre-Screening Questionnaire
9+ years as Enterprise / Semantic Architect
Experienced Enterprise / Semantic Architect to define and govern enterprise-level architecture, semantic
models, and ontology-driven solutions across platforms and domains. The role focuses on enabling
interoperability, data consistency, and semantic alignment across systems while supporting scalable,
standards-based enterprise architectures.
Role Descriptions: Practical experience implementing semantic data virtualization (e.g.| R2RML mappings) and integrating knowledge graphs with analytics pipelines.Proficiency with semantic stores reasoners and building scalable SPARQLGraphQL or API based semantic services.
Essential Skills: Practical experience implementing semantic data virtualization (e.g.| R2RML mappings) and integrating knowledge graphs with analytics pipelines.Proficiency with semantic stores reasoners and building scalable SPARQLGraphQL or API based semantic services.
Desirable Skills:
Keyword:
Skills: Digital : Data Virtualization
Experience Required: 8-10, Project Code :
Experienced Enterprise / Semantic Architect to define and govern enterprise-level architecture, semantic
models, and ontology-driven solutions across platforms and domains. The role focuses on enabling
interoperability, data consistency, and semantic alignment across systems while supporting scalable,
standards-based enterprise architectures.
Roles & Responsibilities
• Define and maintain enterprise and semantic architecture frameworks aligned with business
strategy
• Design and govern semantic models, ontologies, and taxonomies for enterprise systems
• Enable data and system interoperability across platforms and domains
• Establish architecture standards, guidelines, and best practices
• Collaborate with business, product, and engineering teams to translate requirements into
architecture designs
• Review and guide solution designs to ensure semantic consistency and architectural compliance • Support integration, API, and data architecture initiatives with semantic alignment • Drive adoption of industry standards and reference models where applicable • Participate in architecture reviews, design discussions, and technical governance forums • Strong understanding of enterprise architecture frameworks and design principles • Hands-on experience designing semantic models, ontologies, or controlled vocabularies • Knowledge of data modeling, metadata management, and information architecture • Experience with system integration, APIs, and data exchange patterns • Ability to work across business and technology teams to drive architectural alignment • Strong communication and documentation skills
Generic Managerial Skills, If any
Experience working in agile development projects and sprint deliver
Key Words to search in Resume
Enterprise Architect, Semantic Architect, Ontology, Taxonomy, Semantic Modeling, Data Architecture,
Interoperability, Architecture Governance
Pre-Screening Questionnaire
9+ years as Enterprise / Semantic Architect
Experienced Enterprise / Semantic Architect to define and govern enterprise-level architecture, semantic
models, and ontology-driven solutions across platforms and domains. The role focuses on enabling
interoperability, data consistency, and semantic alignment across systems while supporting scalable,
standards-based enterprise architectures.
Role Descriptions: Practical experience implementing semantic data virtualization (e.g.| R2RML mappings) and integrating knowledge graphs with analytics pipelines.Proficiency with semantic stores reasoners and building scalable SPARQLGraphQL or API based semantic services.
Essential Skills: Practical experience implementing semantic data virtualization (e.g.| R2RML mappings) and integrating knowledge graphs with analytics pipelines.Proficiency with semantic stores reasoners and building scalable SPARQLGraphQL or API based semantic services.
Desirable Skills:
Keyword:
Skills: Digital : Data Virtualization
Experience Required: 8-10, Project Code :