Role Overview We are looking for Solution Architect with 10+ years of overall experience and 2+ years of relevant experience in Graph Databases(Stardog), Semantic Technologies, Data Engineering, and Solution Architecture. The candidate must have mandatory hands-on experience with Stardog, along with a strong understanding of graph data platforms, semantic modeling, ontology development, and knowledge graph implementation. The role requires an individual who can operate across multiple dimensions, including Senior Data Engineering, Semantic Design, and Solution Architecture. The candidate should have prior exposure to architecting solutions, making technical design decisions, and driving end-to-end solution delivery, from requirement analysis and architecture design through implementation, deployment, and production support. The ideal candidate should be capable of translating complex business requirements into scalable, reusable, and business-aligned graph and semantic data solutions.

Key Responsibilities
1. Stardog & Graph Database Engineering
• Design, develop, and implement graph-based data solutions using Stardog.
• Work hands-on with Stardog capabilities, including RDF data modeling, SPARQL querying, knowledge graph creation, and semantic data integration.
• Implement data ingestion, transformation, mapping, and integration pipelines for graph-based solutions.
• Optimize graph queries and data models for performance, scalability, and maintainability.
• Work with other Graph DB technologies such as Neo4j and MarkLogic, wherever applicable. 2. Semantic Modeling & Ontology Design
• Design and develop semantic models, ontologies, knowledge graphs, and reusable domain vocabularies.
• Translate business concepts and domain requirements into structured semantic representations.
• Apply RDF, RDFS, OWL, SPARQL, and related W3C semantic web standards.
• Establish relationships between disparate data sources to enable semantic interoperability and data discovery.




• Ensure consistency, reusability, and governance of semantic models. 3. Solution Architecture & Technical Design
• Contribute to and drive solution architecture for Graph DB and Semantic Data initiatives.
• Define end-to-end architecture, technology choices, integration patterns, and implementation approaches.
• Evaluate architectural trade-offs considering scalability, performance, security, availability, and maintainability.
• Define technical design documents, architecture diagrams, solution blueprints, and implementation guidelines.
• Provide architectural guidance to engineering teams and ensure alignment with enterprise architecture standards. 4. End-to-End Solution Delivery
• Drive solution delivery from requirement gathering and technical assessment through design, development, testing, deployment, and production stabilization.
• Work closely with business stakeholders, architects, data engineers, and development teams to ensure successful implementation.
• Break down business requirements into technical deliverables, development plans, and implementation milestones.
• Identify delivery risks, technical dependencies, and bottlenecks, and proactively address them.
• Take ownership of technical outcomes and ensure solutions are delivered within agreed timelines and quality standards. 5. Stakeholder Management & Problem Solving
• Collaborate with business and technical stakeholders to understand business challenges and propose appropriate graph and semantic solutions.




• Demonstrate strong analytical and problem-solving capabilities in resolving complex data and architecture challenges.
• Communicate technical designs, architectural decisions, risks, and recommendations effectively.
• Provide technical leadership, knowledge sharing, and guidance to development teams.
• Ensure that technology decisions are driven by business requirements and measurable outcomes. Qualifications (Skills / Competencies) Mandatory Skills
• Minimum 2-5 years of relevant experience in Graph Databases, Semantic Technologies.
• Hands-on Stardog or similar GraphDB experience is mandatory. Candidates must have practical experience in designing, developing, implementing, and delivering solutions using Stardog.
• Strong understanding of Graph Database concepts, Knowledge Graphs, and Semantic Technologies.
• Hands-on experience with RDF, RDFS, OWL, SPARQL, and ontology development.
• Experience in semantic data modeling, knowledge graph creation, and data integration.
• Exposure to Solution Architecture, technical design, and end-to-end solution delivery.
• Ability to independently assess business requirements and translate them into scalable technical solutions.
• Robust analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management skills. Preferred Skills
• Exposure to other Graph DB platforms such as Neo4j, MarkLogic, and similar graph technologies.
• Understanding of enterprise data architecture, data governance, metadata management, and master data management.
• Experience integrating graph databases with relational databases, data lakes, APIs, and enterprise applications.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with graph query optimization, data security, and knowledge graph governance.
• Experience leading technical teams or driving architecture and engineering workstreams.

📌 Stardog Architect (Gurugram)
🏢 C5i
📍 Gurugram