Back-End Knowledge Graph Engineer

Accenture; Morristown (NJ); Hybrid; USD 45,000 - 130,000; Full time

Job summary

Accenture seeks an experienced Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability at scale.

The role focuses on ontology-based data mapping, graph hydration, vector storage, and semantic retrieval across enterprise systems, with a hybrid in-office/work travel model.

Qualifications

• Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping
• Experience with RDF, SPARQL, and semantic technologies
• 3+ years with R2RML mapping frameworks for transforming relational data into graph models
• 3+ years with graph databases (e.g., Neo4J, StarDog, GraphWise) and Elasticsearch/OpenSearch
• 3+ years with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
• 3+ years deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant)
• 3+ years Python or Java for automation and service development and REST API design
• Bachelor's degree or equivalent work experience

Responsibilities

• Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models
• Develop data mapping and transformation workflows using R2RML or similar technologies
• Write and optimize SPARQL queries for graph loading, validation, and retrieval
• Build and maintain data ingestion pipelines and integrate data from enterprise systems
• Design and optimize relational database schemas and queries to support graph hydration and ETL workflows
• Deploy, configure, and maintain vector database infrastructure for embedding storage and semantic retrieval
• Design and maintain scalable graph query APIs for internal teams
• Performance-tune graph database queries, indexing strategies, and data access patterns
• Own containerization, deployment, and monitoring of graph services in cloud environments
• Ensure data quality, ontology alignment, and secure handling of sensitive data
• Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations

Skills

Knowledge Graph

SPARQL

R2RML

Graph databases

Python

Java

REST APIs

Data modeling

Education

Bachelor's degree or equivalent

Tools

Elasticsearch/OpenSearch

Neo4j

Pinecone

Weaviate

Milvus

Qdrant

PostgreSQL

Job description

Accenture seeks an experienced Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability at scale.

The role focuses on ontology-based data mapping, graph hydration, vector storage, and semantic retrieval across enterprise systems, with a hybrid in-office/work travel model.