Data Architect Knowledge Graph Sr. consultant at Big4 · Bangalore, Hyderabad, and Gurgaon, Kolkata, Mumbai, Pune, Chennai · 8 - 12 years · ₹25L - ₹40L / yr · Posted 10 Apr 2026
JavaThe Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.
Work you’ll do
1. Design and develop scalable and efficient knowledge graph architectures.
2. Implement knowledge graph integration with existing data systems and business processes.
3. Lead the ontology design, data modeling, and schema development for knowledge representation.
4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.
5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.
6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.
7. Develop and maintain documentation and specifications for system architectures and designs.
8. Stay updated with the latest industry trends in knowledge graph technologies and data management.
The Team
Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.
It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.
I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.
Qualifications and Experience
Required:
1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.
3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).
4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.
5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).
6. Excellent analytical and problem-solving abilities.
7. Strong communication and collaboration skills to work effectively across teams.
Preferred:
1. Experience with machine learning and natural language processing.
2. Experience with Industry 4.0 technologies and principles
3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.
4. Experience with containerization technologies like Docker and Kubernetes
Shubham Vishwakarma
Full Stack Developer - Averlon
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Roles & Responsibilities
- Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.
- Connect data from different systems so that all information is consistent and easy to understand.
- Create relationships between products, customers, services, and other business data to improve search and AI capabilities.
- Work closely with business teams to understand their requirements and convert them into structured knowledge models.
- Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.
- Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.
- Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.
- Manage and update ontologies as new products, services, and business information are introduced.
- Support knowledge graph and metadata initiatives to improve data quality and consistency.
- Use graph databases and ontology management tools (where applicable) to maintain semantic data models.
Ideal Candidate
- Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments
- Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises
- Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction
- Mandatory (Tech skill 1) – Must have strong experience with graph databases, taxonomies, and NLP strategies for optimization
- Mandatory (Tech skill 2) – Must have strong working experience of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)
- Mandatory (Tech skill 3) – Must be familiar with W3C industry standards, including SPARQL and OWL.
- Mandatory (Communication) – Must be fluent in English, with strong stakeholder management skills to operate across a complex, multi-team environment.many stakeholders.
- Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day
- Preferred (Education) – Must have a degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation
- Preferred (Tech skill 3) – Understanding of content development and search/retrieval tools.
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Full Stack Developer - Averlon