Knowledge Graph Backend Lead & Manager - Hybrid

Information Technology Senior Management Forum; Seattle (WA); Hybrid; USD 162,000 - 270,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform in a hybrid role. You will architect APIs, build data pipelines, and own reliability across the back-end stack for enterprise-scale systems.

You will work with ontology-driven data, RDF/SPARQL, and graph databases, contributing to ingestion, transformation, storage, and retrieval. Role involves travel to client locations as needed.

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 mapping frameworks like R2RML for transforming relational data into graph models.
• Minimum 5 years experience with graph databases (e.g., Neo4J, StarDog, GraphWise) and Elasticsearch/OpenSearch, plus strong SQL skills.
• Minimum 5 years hands-on experience with relational databases (PostgreSQL, MySQL, SQL Server) and schema design.
• Minimum 5 years deploying vector databases (Pinecone, Weaviate, Milvus, Qdrant) in production.
• Minimum 5 years Proficiency in Python or Java and designing REST APIs for internal use.

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 workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage and retrieval at scale.
• Design and maintain scalable graph query APIs used 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 (PII/PHI).
• Collaborate with ontologists, architects, and application teams on Knowledge Graph implementations.

Skills

Knowledge Graph

RDF

SPARQL

Python

Java

REST APIs

Graph Databases

SQL

Data Modeling

Data Pipelines

Education

Bachelor's degree or equivalent

Tools

GraphDB

Neo4j

Stardog

Milvus

Qdrant

Neptune

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform in a hybrid role. You will architect APIs, build data pipelines, and own reliability across the back-end stack for enterprise-scale systems.

You will work with ontology-driven data, RDF/SPARQL, and graph databases, contributing to ingestion, transformation, storage, and retrieval. Role involves travel to client locations as needed.