Knowledge Graph Engineering Lead

Accenture; Miami (FL); Ibrido; USD 100.000 - 200.000; Tempo pieno

Descrizione del lavoro

Accenture seeks a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will architect APIs, pipelines, and multi-modal databases while ensuring reliability and scalable delivery.

You will work across the stack, from relational schemas to vector stores, with emphasis on Knowledge Graphs and semantic tech. Hybrid role requiring travel to client sites.

Competenze

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of RDF, SPARQL, and semantic technologies.
• 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, GraphDB, Stardog) and Elasticsearch/OpenSearch, including strong SQL proficiency.
• Minimum 5 years experience with relational databases (PostgreSQL, MySQL, SQL Server), including schema design, indexing, and query optimization.
• Minimum 5 years experience deploying and operating vector databases (Pinecone, Weaviate, Milvus, Qdrant) in production environments.
• Minimum 5 years Proficiency in Python or Java and experience designing and documenting REST APIs for internal consumers.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Mansioni

• 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 efficient graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, 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.

Conoscenze

Knowledge Graph

SPARQL

Semantic technologies

Graph databases

Python

Java

Formazione

Bachelor's degree or equivalent

Associate’s degree with 6 years experience

Strumenti

GraphDB

Stardog

Neo4j

Amazon Neptune

Elasticsearch/OpenSearch

Descrizione del lavoro

Accenture seeks a Back-End Engineer to design, build, and operate data infrastructure powering an AI-driven knowledge platform. You will architect APIs, pipelines, and multi-modal databases while ensuring reliability and scalable delivery.

You will work across the stack, from relational schemas to vector stores, with emphasis on Knowledge Graphs and semantic tech. Hybrid role requiring travel to client sites.