Lead Knowledge Graph Architect & Backend Engineer

Accenture; Oklahoma City (OK); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering an AI-driven knowledge platform. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability and performance of services used by product teams.

You will work across the back-end stack, including relational schemas, graph queries, vector stores, and production-grade REST APIs, with emphasis on semantic technology and enterprise-scale data delivery.

Qualifications

• Minimum 5 years experience with Knowledge Graph data hydration and ontology-based data mapping.
• Experience with RDF, SPARQL, and semantic technologies.
• Strong SQL proficiency and experience with relational databases.
• Proficiency in Python or Java for automation and service development.
• Experience designing and documenting REST APIs for internal use.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Understanding of data privacy (PII/PHI) handling.

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 mapping frameworks.
• 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 semantic retrieval.
• Design and maintain scalable graph query APIs consumed by internal 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.

Skills

Knowledge Graph

RDF/OWL

SPARQL

Relational SQL

Python/Java

REST APIs

Graph Data Modeling

Education

Bachelor's degree or higher in relevant field

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

Elasticsearch/OpenSearch

Docker

Kubernetes

Pinecone/Weaviate/Milvus/Qdrant

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering an AI-driven knowledge platform. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability and performance of services used by product teams.

You will work across the back-end stack, including relational schemas, graph queries, vector stores, and production-grade REST APIs, with emphasis on semantic technology and enterprise-scale data delivery.