Senior Knowledge Graph Engineer

Role Overview

We are looking for a Senior Knowledge Graph Engineer to design, build, and productionize knowledge graph solutions for healthcare and clinical data.

Our architecture uses a hybrid graph approach, combining a Labeled Property Graph (LPG) for patient/clinical data with an RDF-based graph for clinical ontology and semantic knowledge.

The role will focus on translating ontology and mapping specifications into scalable graph solutions, including data transformation, graph ingestion, concept/entity linking, provenance, validation, and querying.

You will work closely with ontology, terminology, FHIR, clinical/domain, and data engineering teams to translate agreed semantic and mapping decisions into robust technical implementations.

Key Responsibilities:

• Develop, implement, build, and maintain production knowledge graph solutions across LPG and RDF graph technologies.
• Build scalable pipelines to transform healthcare/FHIR data into appropriate graph representations.
• Implement mappings between patient/clinical data and concepts represented in the clinical ontology.
• Develop reusable mapping and transformation patterns rather than one-off implementations.
• Implement consistent approaches for entity identity, canonical identifiers/URI/IRI, relationships, and concept linking.
• Maintain provenance and traceability between source data, mapping rules, and resulting graph entities and relationships.
• Develop and optimize graph queries using Cypher and/or SPARQL.
• Implement automated validation and testing to identify unresolved mappings, inconsistent relationships, and other graph-quality issues.
• Work with ontology, FHIR, terminology, and clinical SMEs to clarify ambiguous or missing mapping requirements.
• Participate in technical design, architecture reviews, code reviews, and engineering best practices.

Required Qualifications:

• 5+ years of software/data engineering experience, including hands-on experience with knowledge graphs or graph technologies.
• Strong understanding of knowledge graph and graph data modeling concepts.
• Hands-on experience with either: Labeled Property Graphs, such as Neo4j/Cypher or equivalent, or RDF/semantic technologies, such as RDF/RDFS, OWL, and SPARQL.
• Working knowledge of, or ability to work across, both LPG and RDF graph models.
• Strong programming skills in Python, Java, or similar languages.
• Experience building production data ingestion, transformation, or integration pipelines.
• Experience with graph databases and/or RDF triple stores.
• Understanding of entity identity, graph relationships, mappings, provenance, and data quality.
• Ability to translate conceptual models and mapping specifications into production implementations.
• Ability to work effectively with evolving requirements and cross-functional technical/domain teams.

Other Qualifications (OQs)

• Hands-on experience with both LPG and RDF/semantic knowledge graphs.
• Healthcare or life sciences data experience.
• Familiarity with HL7 FHIR, including concepts such as Coding, CodeableConcept, Reference, and Identifier.
• Experience with ontology-driven data integration or semantic mapping.
• Experience with SHACL or other graph/semantic validation approaches.
• Experience with terminology/concept normalization and canonical concept mapping.
• Familiarity with clinical terminologies such as SNOMED CT, LOINC, RxNorm, ICD, or UMLS.
• Cloud and CI/CD experience.

What Sets You Apart?

• Hands-on experience with both LPG and RDF/semantic knowledge graphs.
• Healthcare or life sciences data experience with familiarity with HL7 FHIR and clinical terminologies (SNOMED CT, LOINC, RxNorm, ICD, or UMLS).
• Experience with ontology-driven data integration, semantic mapping, and SHACL/semantic validation approaches.
• Cloud and CI/CD engineering experience in production environment.

What's In It For YOU At Quantiphi?

• Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 1000 companies.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!