Knowledge Graph & Backend Engineering Lead

Accenture; Seattle (WA); Hybrid; USD 101,000 - 270,000; Full time

Job summary

Accenture in Seattle 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, and manage multi-modal databases, owning reliability and performance for internal teams.

You should have strong fundamentals, comfortable with relational schemas, graph queries, vector stores, and production-grade REST APIs. Experience with knowledge graphs and semantic tech is central to this role.

Qualifications

• Minimum 5 years 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., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.
• Minimum 5 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.
• Minimum 5 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.
• Minimum 5 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 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 efficient graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal application and product 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 to support Knowledge Graph implementations.

Skills

Knowledge Graph

SPARQL

R2RML

Python

Java

SQL

Education

Bachelor's degree or equivalent

Tools

GraphDB

Stardog

Neo4j

Elasticsearch/OpenSearch

PostgreSQL

MySQL

SQL Server

Pinecone

Weaviate

Milvus

Qdrant

Docker

Kubernetes

Terraform

Airflow

Job description

Accenture in Seattle 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, and manage multi-modal databases, owning reliability and performance for internal teams.

You should have strong fundamentals, comfortable with relational schemas, graph queries, vector stores, and production-grade REST APIs. Experience with knowledge graphs and semantic tech is central to this role.