Knowledge Graph Backend Engineering Lead

Accenture; Boston (MA); Hybrid; USD 94,000 - 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. You will architect APIs, build data pipelines, manage multi-modal databases, and ensure reliability across the backend stack.

Strong emphasis on knowledge graphs, semantic tech, and scalable data delivery. The role requires experience with RDF/SPARQL, graph databases, relational databases, vector stores, and REST API development.

Qualifications

• Minimum 5 years experience with Knowledge Graph data hydration and ontology-based data mapping (RDF, SPARQL, semantic technologies).
• Minimum 5 years experience with R2RML or similar mapping frameworks for transforming relational data into graphs.
• Minimum 5 years experience with graph databases (e.g., Neo4J, GraphDB, Stardog) and Elasticsearch/OpenSearch, including strong SQL proficiency.
• Minimum 5 years experience deploying relational databases (PostgreSQL, MySQL, SQL Server) with schema design, indexing and query optimization.
• Minimum 5 years experience deploying vector databases (Pinecone, Weaviate, Milvus, Qdrant).
• Minimum 5 years Proficiency in Python or Java and designing REST APIs for internal consumers.
• Bachelor's degree or equivalent (minimum 12 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 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.

Skills

Python

Java

Knowledge Graph

SPARQL

Education

Bachelor's degree

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

Elasticsearch/OpenSearch

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 across the backend stack.

Strong emphasis on knowledge graphs, semantic tech, and scalable data delivery. The role requires experience with RDF/SPARQL, graph databases, relational databases, vector stores, and REST API development.