onsite
Data Architect - Knowledge Graph & Semantic Architecture - Next Gen Software Solutions
Software Engineer
Seasoned Data Architect specializing in knowledge graphs, semantic modeling, and AI‑driven data platforms. Designs enterprise‑scale graph databases, ontology frameworks, and LLM‑enabled pipelines for intelligent data discovery and contextual insights.
About the role
Key Responsibilities
- Design and implement enterprise‑grade knowledge graph and semantic data platforms that support AI/LLM‑driven analytics.
- Develop ontologies, taxonomy structures, and semantic layers using standards such as RDF and OWL.
- Select, configure, and optimize graph database technologies (e.g., Neo4j, Amazon Neptune) for high‑performance data storage and query.
- Integrate large language models and machine‑learning pipelines to enrich graph data and enable contextual insights.
- Collaborate with data engineers, data scientists, and business stakeholders to translate domain requirements into scalable semantic architectures.
Requirements
- 5+ years of experience designing and deploying knowledge graphs or semantic data solutions.
- Proficiency with graph database platforms (Neo4j, JanusGraph, Amazon Neptune) and query languages such as Cypher or SPARQL.
- Strong background in ontology engineering, RDF/OWL, and semantic modeling techniques.
- Hands‑on experience integrating AI/LLM services (e.g., OpenAI, Hugging Face) into data pipelines.
- Solid programming skills in Python (or similar) for data transformation, ETL, and model development.