Lead Knowledge Graph & Data Infrastructure Engineer

Accenture; Des Moines (IA); Hybrid; USD 120,000 - 240,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will craft APIs, data pipelines, and multi‑modal databases, delivering reliable, scalable services for product teams.

You will work across the back-end stack, with emphasis on semantic tech, ontology alignment, and secure data handling. This hybrid role involves travel and client work across enterprise environments.

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping.
• Minimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.

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 hydration

Ontology-based mapping

R2RML mapping

SPARQL

Graph databases

Relational databases & SQL

Python

Java

REST APIs

Cloud deployment

Education

Bachelor's degree or equivalent work experience

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

Elasticsearch/OpenSearch

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will craft APIs, data pipelines, and multi‑modal databases, delivering reliable, scalable services for product teams.

You will work across the back-end stack, with emphasis on semantic tech, ontology alignment, and secure data handling. This hybrid role involves travel and client work across enterprise environments.