Knowledge Graph & Backend Engineering Lead

Accenture; Atlanta (GA); Hybrid; USD 120,000 - 190,000; 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 architect APIs, build data pipelines, manage multi-modal databases, and own reliability and performance for services used by product teams.

You bring expertise in ontology-based data mapping, graph hydration, and scalable data systems, with strong Python/Java skills and experience with vector stores and REST APIs.

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping, RDF, SPARQL
• Minimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models
• Minimum 5 years experience with graph databases (StarDog, GraphWise, Neo4J) and Elasticsearch/OpenSearch; strong SQL proficiency
• Minimum 5 years hands-on experience with relational databases (PostgreSQL/MySQL/SQL Server); schema design and indexing
• Minimum 5 years experience deploying and operating vector databases (Pinecone/Weaviate/Milvus/Qdrant) in production
• Minimum 5 years Proficiency in Python or Java for automation and REST API development
• Bachelor's degree or equivalent; if Associate’s Degree, 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 graph hydration and ETL.
• Deploy, configure, and maintain vector database infrastructure for embedding storage and retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal teams.
• Performance-tune graph database queries, indexing, 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

RDF/OWL

Python

Java

REST APIs

GraphDB/Neo4j/Neptune

Data Pipelines

SQL / Relational Design

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

PostgreSQL

Elasticsearch/OpenSearch

Pinecone/Weaviate/Milvus/Qdrant

Docker

Kubernetes

Airflow

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 and performance for services used by product teams.

You bring expertise in ontology-based data mapping, graph hydration, and scalable data systems, with strong Python/Java skills and experience with vector stores and REST APIs.