Knowledge Graph Architect & Backend Lead

Accenture; Charlotte (NC); Hybrid; USD 120,000 - 210,000; Full time

Job summary

Accenture seeks a Back-End Engineer to design, build, and operate the data infrastructure powering an AI-driven knowledge platform. You will work across the full back-end stack, architecting APIs, building data pipelines, and managing multi-modal databases while ensuring reliability and performance for internal teams.

You will design relational schemas, tune graph queries, stand up vector stores, and ship production-grade REST APIs.

Qualifications

• Minimum 5 years experience in 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., Neo4J, GraphDB, Stardog) plus Elasticsearch/OpenSearch.
• Minimum 5 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Minimum 5 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, Qdrant).
• Minimum 5 years Proficiency in Python or Java for automation and REST APIs.

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 across 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 semantic retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal teams.
• Performance-tune graph database queries and data access patterns.
• Own containerization, deployment, and monitoring of graph services in cloud environments.
• Ensure data quality, ontology alignment, and secure handling of PII/PHI.
• Collaborate with ontologists, architects, and product teams to support Knowledge Graph implementations.

Skills

Knowledge Graph

API design

Data pipelines

REST APIs

Python/Java

Ontology alignment

Graph databases

Containerization

Education

Bachelor's degree or equivalent

Tools

R2RML

SPARQL

GraphDB

Stardog

Neo4j

PostgreSQL

Weaviate

Milvus

Qdrant

Docker

Kubernetes

Job description

Accenture seeks a Back-End Engineer to design, build, and operate the data infrastructure powering an AI-driven knowledge platform. You will work across the full back-end stack, architecting APIs, building data pipelines, and managing multi-modal databases while ensuring reliability and performance for internal teams.

You will design relational schemas, tune graph queries, stand up vector stores, and ship production-grade REST APIs.