Knowledge Graph Backend Engineer

Accenture; Walnut Creek (CA); On-site; 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 platform. You will architect APIs, build data pipelines, and own the reliability of services used by product teams.

You will work with knowledge graphs, RDF/SPARQL, and vector stores, collaborating with ontologists and engineers to deliver scalable data solutions across cloud environments.

Qualifications

• Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of 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, including strong SQL proficiency.
• Minimum 3 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.

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 efficient graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal application and product 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 (PII/PHI).
• Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.

Skills

Knowledge Graph

RDF/SPARQL

Graph Databases

Python

Java

REST APIs

Containerization

ETL Data pipelines

Cloud Platforms

Data Modeling

Education

Bachelor's degree or equivalent

Tools

Neo4j

StarDog

GraphWise

Elasticsearch/OpenSearch

Pinecone/Weaviate/Milvus/Qdrant

PostgreSQL/MySQL/SQL Server

Python

Java

R2RML

SPARQL

Docker

Kubernetes

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will architect APIs, build data pipelines, and own the reliability of services used by product teams.

You will work with knowledge graphs, RDF/SPARQL, and vector stores, collaborating with ontologists and engineers to deliver scalable data solutions across cloud environments.