Knowledge Graph Architect & Backend Lead

Accenture; Morristown (NJ); Hybrid; USD 101,000 - 294,000; Full time

Benefits offered by this job

Hybrid work model

Travel opportunities

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 service reliability and performance for wide-scale enterprise use.

Core work includes designing relational schemas, tuning graph queries, and deploying vector stores. Strong focus on ontology alignment, semantic tech, and REST API delivery for internal teams.

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping.
• 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., Neo4J) and Elasticsearch/OpenSearch, including SQL proficiency.
• Minimum 5 years experience with relational databases (PostgreSQL/MySQL/SQL Server), including schema design and optimization.
• Minimum 5 years experience deploying vector databases (Pinecone/Weaviate/Milvus/Qdrant).
• Minimum 5 years proficiency in Python or Java for automation and REST API design.

Responsibilities

• Hydrate 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 semantic 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 to support Knowledge Graph implementations.

Skills

Knowledge Graph

SPARQL

RDF

Python

Java

REST APIs

Graph databases

SQL

Education

Bachelor's degree or equivalent

Tools

Neo4j

Elasticsearch/OpenSearch

PostgreSQL

Kafka

Docker

Kubernetes

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 service reliability and performance for wide-scale enterprise use.

Core work includes designing relational schemas, tuning graph queries, and deploying vector stores. Strong focus on ontology alignment, semantic tech, and REST API delivery for internal teams.