Knowledge Graph Lead & Backend Engineer

Accenture; San Diego (CA); On-site; USD 94,000 - 294,000; Full time

Job summary

Accenture in California is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will architect APIs, data pipelines, vector stores, and graph services, owning reliability and performance across the stack.

You bring strong fundamentals, experience with RDF/SPARQL, graph databases, relational databases, and Python or Java. This hybrid role requires office time and travel 20–80% to client sites.

Qualifications

• Minimum 5 years experience with Knowledge Graph data hydration and ontology mapping.
• Strong RDF, SPARQL and semantic technologies expertise.
• Hands-on experience with graph databases and relational databases; Python or Java.

Responsibilities

• Hydrate data into Knowledge Graphs by mapping source data to ontology models.
• Develop data mapping workflows using R2RML or similar tools.
• Write and optimize SPARQL queries for graph loading and retrieval.
• Build data ingestion pipelines and integrate enterprise data sources.
• Design scalable relational schemas to support graph hydration and ETL.

Skills

Knowledge Graph

RDF

SPARQL

Graph databases

Python/Java

Education

Bachelor's degree or equivalent

Tools

Docker

Kubernetes

Git

NiFi/Airflow

Job description

Accenture in California is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will architect APIs, data pipelines, vector stores, and graph services, owning reliability and performance across the stack.

You bring strong fundamentals, experience with RDF/SPARQL, graph databases, relational databases, and Python or Java. This hybrid role requires office time and travel 20–80% to client sites.