Knowledge Graph Backend Engineer

Accenture; St. Louis (MO); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven Knowledge Graph platform. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability at enterprise scale across cloud environments.

You will work across data ingestion, transformation, storage, and retrieval with a strong emphasis on ontology alignment and semantic technologies, contributing to scalable, production-grade services for

Qualifications

• Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping, including RDF, SPARQL, and semantic technologies.
• Minimum 3 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.
• Minimum 3 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch and strong SQL proficiency.

Responsibilities

• Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.
• Develop data mapping and transformation workflows.
• 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 consumed by internal teams.
• Performance-tune graph 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 for Knowledge Graphs.

Skills

Knowledge Graph data hydration

Ontology mapping

SPARQL

Python or Java

REST APIs

Graph databases

Relational databases

Cloud deployment

Data ingestion / ETL

Education

Bachelor's degree or equivalent work experience

Tools

R2RML

Graph databases (Neo4J, StarDog, etc)

Elasticsearch/OpenSearch

Docker/Kubernetes

Vector databases (Pinecone/Weaviate/Milvus/Qdrant)

SQL

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven Knowledge Graph platform. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability at enterprise scale across cloud environments.

You will work across data ingestion, transformation, storage, and retrieval with a strong emphasis on ontology alignment and semantic technologies, contributing to scalable, production-grade services for