Engineer Manager - Back-end Engineer

Back-End Engineer

We are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power 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, standing up a vector store, or shipping a production-grade REST API.

Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.

Key Responsibilities:

• Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.
• Develop data mapping and transformation workflows using R2
  
  RML 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.

Preferred Technology Stack:

• Semantic technologies: RDF, OWL, SKOS, RDFS
• Query languages: SPARQL
• Mapping technologies: R2
  
  RML, CSVW, SHACL (preferred)
• Graph databases:
  GraphDB, Stardog, Neo4j, Amazon Neptune
• Relational databases:
  PostgreSQL, MySQL, SQL Server
• Vector stores:
  Pinecone, Weaviate, Milvus, Qdrant
• Search:
  Elasticsearch / Open Search
• Programming:
  Python, Java (preferred)
• Data formats: SQL, JSON, XML, CSV
• Integration: REST APIs, ETL tools, Apache NiFi, Airflow (preferred)
• Infrastructure:
  Docker, Kubernetes, Helm
• Cloud: AWS Neptune, Azure Cosmos DB, GCP
• Messaging:
  Kafka, RabbitMQ
• Version control:
  Git

This role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%.

Here's What You Need:

• 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 R2
  
  RML or similar mapping frameworks for transforming relational data into graph models.
• Minimum 5 years experience with graph databases (e.g., Star Dog, Graph Wise, Neo4J), along with Elasticsearch/Open Search. including strong SQL proficiency.
• Minimum 5 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.
• Minimum 5 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.
• Minimum 5 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.