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Knowledge Engineer - Back End
Accenture
Cleveland, USA
Full-time
Mid-Senior
Hybrid
$28.41 to $75.38.
Discovered 1 weeks ago
Knowledge graphsOntology-based data mappingRDFSPARQLR2RMLGraph databases
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Knowledge graphsOntology-based data mappingRDF
Role Overview
Accenture is seeking a Back-End Knowledge Engineer to build and operate data infrastructure and services for an AI-driven knowledge platform.
The role spans APIs, data pipelines, graph databases, vector stores, ingestion, transformation, retrieval, and service reliability at enterprise scale.
Key Skills for This Role
Knowledge graphsOntology-based data mappingRDFSPARQLR2RMLGraph databases
Full Job Posting
Role Overview
Accenture is seeking a Back-End Knowledge Engineer to build and operate data infrastructure and services for an AI-driven knowledge platform.
The role spans APIs, data pipelines, graph databases, vector stores, ingestion, transformation, retrieval, and service reliability at enterprise scale.
Core Responsibilities
- Hydrate structured and semi-structured data into Knowledge Graphs using ontology models.
- Develop R2RML or similar data mapping and transformation workflows.
- Write and optimize SPARQL queries for graph loading, validation, and retrieval.
- Build ingestion pipelines and integrate data from enterprise systems.
- Design relational schemas and queries for graph hydration and ETL workflows.
- Deploy and maintain vector database infrastructure for embeddings, indexing, and semantic retrieval.
- Design scalable graph query APIs for internal application and product teams.
- Tune graph queries, indexing strategies, and data access patterns.
- Deploy and monitor graph services in cloud environments.
- Ensure data quality, ontology alignment, and secure PII/PHI handling.
- Collaborate with ontologists, architects, and application teams.
Required Qualifications
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