USA_Developer

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, 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.

· 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, 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. Skills: Digital : Data Virtualization Experience Required: 8-10 years Skills: Category Name Required Importance Experience SkillCategoryTest1_MN Digital : Data Virtualization Yes 1 7+ years