Knowledge Graph Backend Engineering Lead

Accenture; Mountain View (CA); Hybrid; USD 176,000 - 294,000; Full time

Job summary

Accenture is hiring a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will architect APIs, build data pipelines, and manage multi-modal databases while ensuring reliability and performance for product teams.

The role covers relational and vector databases, ontology alignment, and semantic technologies across ingestion, transformation, storage, retrieval, and delivery at enterprise scale. Hybrid work and travel 20-80% are expected.

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 for transforming relational data into graph models.
• Minimum 5 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), plus Elasticsearch/OpenSearch.
• Minimum 5 years hands-on experience with relational databases (PostgreSQL, MySQL, SQL Server).
• Minimum 5 years experience deploying and operating vector databases (Pinecone, Weaviate, Milvus, Qdrant).
• Minimum 5 years Proficiency in Python or Java for automation and REST APIs.
• 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

Knowledge Graph

Ontology mapping

RDF

SPARQL

Graph databases

Python

Java

REST APIs

ETL

PostgreSQL

Docker

Kubernetes

Helm

Git

Education

Bachelor's degree or higher

Tools

GraphDB

Stardog

Neo4j

Elasticsearch/OpenSearch

Pinecone

Weaviate

Milvus

Qdrant

PostgreSQL

MySQL

SQL Server

Docker

Kubernetes

Helm

Job description

Accenture is hiring a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will architect APIs, build data pipelines, and manage multi-modal databases while ensuring reliability and performance for product teams.

The role covers relational and vector databases, ontology alignment, and semantic technologies across ingestion, transformation, storage, retrieval, and delivery at enterprise scale. Hybrid work and travel 20-80% are expected.