Knowledge Graph Lead & Backend Engineer

Accenture; Hartford (CT); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid holidays

Paid time off

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 DBs, and own service reliability at enterprise scale.

You’ll work across ingestion, transformation, storage, retrieval, and delivery while leveraging RDF, SPARQL, R2RML, and vector stores in a hybrid role requiring travel.

Qualifications

• Minimum 5 years experience with Knowledge Graph data hydration and ontology-based mapping.
• Strong understanding of RDF, SPARQL and semantic technologies.
• 5+ years experience with mapping frameworks (R2RML or equivalent).
• 5+ years working with graph databases and Elasticsearch/OpenSearch.
• 5+ years relational DB experience (PostgreSQL/MySQL/SQL Server) including schema design.
• 5+ years deploying vector databases in production and proficiency in Python or Java.
• Bachelor's degree or equivalent work experience (12 years total).

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

Skills

Knowledge Graph

RDF/SPARQL

Semantic technologies

Python/Java

REST APIs

Data modeling

ETL/ pipelines

Cloud/ containerization

Education

Bachelor's degree or equivalent

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

PostgreSQL

MySQL

SQL Server

Pinecone

Weaviate

Milvus

Qdrant

Elasticsearch/OpenSearch

Docker

Kubernetes

Airflow

NiFi

Git

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 DBs, and own service reliability at enterprise scale.

You’ll work across ingestion, transformation, storage, retrieval, and delivery while leveraging RDF, SPARQL, R2RML, and vector stores in a hybrid role requiring travel.