Knowledge Graph Engineering Manager & Backend Lead

Accenture; Chicago (IL); Hybrid; USD 87,000 - 254,000; 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 work across the full back-end stack, architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability and performance for internal teams.

You bring deep knowledge of ontology-based data mapping, semantic tech, and scalable REST APIs, with 5+ years in graph data and a hybrid work setup requiring in-office time and travel.

Qualifications

• Minimum 5 years experience with Knowledge Graph data hydration and ontology-based data mapping, including RDF, SPARQL, and semantic technologies.
• Minimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.
• Minimum 5 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.
• Minimum 5 years hands‑on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.
• Minimum 5 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.
• Minimum 5 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

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

SPARQL

R2RML

Python

Java

REST APIs

Data Modeling

Education

Bachelor's degree or equivalent

Tools

GraphDB

Neo4j

PostgreSQL

Elasticsearch/OpenSearch

Docker

Kubernetes

Milvus

Qdrant

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will work across the full back-end stack, architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability and performance for internal teams.

You bring deep knowledge of ontology-based data mapping, semantic tech, and scalable REST APIs, with 5+ years in graph data and a hybrid work setup requiring in-office time and travel.