Knowledge Graph Architect & Backend Engineering Lead

Accenture; Beaverton (OR); Hybrid; USD 120,000 - 230,000; 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 ensure reliability and performance for enterprise-scale services.

The role emphasizes knowledge graph, semantic tech, and end-to-end data handling across ingestion, transformation, storage, retrieval and delivery. Hybrid in-office work with travel is expected.

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based mapping.

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 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 for internal teams.
• Performance-tune graph 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

R2RML

Python/Java

REST APIs

Data pipelines

Graph databases

SQL proficiency

Education

Bachelor's degree

Tools

GraphDB

Neo4j

PostgreSQL

Kafka

Docker

Kubernetes

Airflow

NiFi

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 ensure reliability and performance for enterprise-scale services.

The role emphasizes knowledge graph, semantic tech, and end-to-end data handling across ingestion, transformation, storage, retrieval and delivery. Hybrid in-office work with travel is expected.