Knowledge Graph Lead & Backend Engineer

Accenture; Houston (TX); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Travel to client locations (20-80%)

Job summary

Accenture is seeking a 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 own reliability of services used by product teams.

You will work across ingestion, transformation, storage, and retrieval at enterprise scale, leveraging RDF, SPARQL, and vector stores with a strong emphasis on semantic technologies.

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping.
• Strong understanding of RDF, SPARQL, and semantic technologies.
• Experience with R2RML or similar mapping frameworks for transforming relational data into graph models.
• Hands-on experience with graph databases and Elasticsearch/OpenSearch.
• Proficiency in Python or Java for automation and service development.
• Experience designing and documenting REST APIs for internal consumers.

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 retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal application 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 product teams on Knowledge Graph implementations.

Skills

Knowledge Graph data hydration

SPARQL

R2RML

Graph databases

Python

Java

REST APIs

Ontology mapping

Education

Bachelor's degree or equivalent

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

Job description

Accenture is seeking a 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 own reliability of services used by product teams.

You will work across ingestion, transformation, storage, and retrieval at enterprise scale, leveraging RDF, SPARQL, and vector stores with a strong emphasis on semantic technologies.