Knowledge Graph & Backend Lead Engineer - Hybrid

Accenture; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query,

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 graph databases (e.g., GraphDB, Stardog, Neo4j).
• Minimum 5 years experience with relational databases and SQL.
• Minimum 5 years experience deploying and operating vector databases (Pinecone, Weaviate, Milvus, or Qdrant).
• Proficiency in Python or Java for automation and service development; experience designing REST APIs for internal consumption.
• Bachelor's degree or equivalent 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 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

RDF/SPARQL

Ontology mapping

Python

Java

REST APIs

Data pipelines

Education

Bachelor's degree or equivalent

Tools

GraphDB

Stardog

Neo4j

PostgreSQL

MySQL

SQL Server

Elasticsearch/OpenSearch

Pinecone

Weaviate

Milvus

Qdrant

Docker

Kubernetes

Airflow

Apache NiFi

Kafka

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure powering our AI-driven knowledge platform. You will work across the full back-end stack — architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query,