Knowledge Engineer Back End Accenture Tampa
Overview
Design and build data infrastructure for AI-driven knowledge platform. Lead hydration of structured and semi-structured data into Knowledge Graphs. Develop R2RML workflows and SPARQL queries. Own vector database deployment and scaling. Ensure data quality and ontology alignment. Collaborate with cross-functional teams to deliver enterprise-scale solutions.
What You'll Do11
- 1Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models
- 2Develop data mapping and transformation workflows using R2RML or similar technologies
- 3Write and optimize SPARQL queries for graph loading validation and retrieval
- 4Build and maintain data ingestion pipelines integrating enterprise systems
- 5Design and optimize relational database schemas supporting efficient graph hydration and ETL
- 6Deploy containerized graph services in cloud environments with monitoring
- 7Design scalable graph query APIs consumed by internal applications
- 8Performance-tune graph database queries indexing and data access patterns
- 9Own full back-end stack including API architecture relational schema design and vector store management
- 10Ensure data quality ontology alignment and secure handling of PII/PHI
- 11Collaborate with ontologists architects and application teams for KG implementations
Requirements12
- 1Minimum 3 years experience in Knowledge Graph data hydration and ontology-based mapping
- 2Minimum 3 years experience with R2RML or similar frameworks
- 3Minimum 3 years experience with graph databases such as StarDog GraphWise Neo4J and Elasticsearch/OpenSearch
- 4Minimum 3 years hands-on experience with relational databases including schema design indexing and query optimization
- 5Minimum 3 years deployment experience with vector databases Pinecone Weaviate Milvus or Qdrant
- 6Minimum 3 years proficiency in Python or Java for automation integration and REST API development
- 7Bachelor's degree or equivalent with minimum 12 years work experience
- 8Familiarity with containerization tools Docker Kubernetes
- 9Knowledge of data ingestion pipelines ETL integration and enterprise system connectivity
- 10Understanding of PII/PHI handling data anonymization and governance practices
- 11Experience building user dashboards visualizing KG data via D3.js Cytoscape.js or BFF patterns
- 12Background in GraphQL REST APIs and API gateway implementation
Salary Insight
$58 - $196k per year
Location
Required Skills
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