Data Architect

We are seeking a highly skilled Data Architect with strong expertise in Knowledge Graphs (Neo4j or Amazon Neptune) and ontology-driven data modelling, combined with deep pharmaceutical domain knowledge—especially in Market Access. This role requires bridging the gap between business stakeholders and technical teams, translating complex market access use cases into scalable data and graph architectures that enable advanced analytics and AI-driven insights.

Location:

The role requires on-site presence in Chicago, IL

Responsibilities:

  • Work closely with market access, commercial, and business teams to understand key problems 
  • Translate business requirements into structured data models, ontologies, and graph schemas 
  • Act as a functional SME for pharma market access concepts 
  • Design and implement enterprise knowledge graph solutions using Neo4j or Amazon Neptune 
  • Define graph data models, including nodes, relationships, and properties aligned to business use cases 
  • Build and maintain ontology frameworks capturing domain semantics and relationships 
  • Ensure scalability, performance, and maintainability of graph-based architectures 
  • Develop domain ontologies and taxonomies to standardize business terminology 
  • Align multiple data sources into a unified semantic layer 
  • Enable context-driven insights through semantic enrichment of data 
  • Collaborate with data engineers and AI/ML teams to operationalize solutions 
  • Ensure data quality, lineage, and governance standards 
  • Establish best practices for data modeling and graph ingestion pipelines 
  • Act as a key liaison between: 
    • Business teams 
    • Data engineering teams 
    • AI/analytics teams 
  • Support client discussions, workshops, and solution presentations 
  • Drive adoption of knowledge graph-based solutions across stakeholders 

What we expect:

  • Strong experience with Knowledge Graph technologies: 
  • Neo4j (preferred) or Amazon Neptune 
  • Proficiency in: 
    • Cypher / SPARQL / Gremlin 
    • Graph data modeling and schema design 
  • Experience with: 
    • Data integration and pipeline design 
    • Graph RAG or semantic search (good to have) 
  • Familiarity with cloud platforms (AWS/Azure/GCP) 
  • Deep understanding of Pharma Market Access domain 
  • Ability to map business processes to data structures and graph models 
  • Soft Skills:
  • Strong ability to translate business requirements into technical solutions 
  • Excellent communication and stakeholder management skills 
  • Experience working in client-facing roles and cross-functional teams 
  • Problem-solving mindset with attention to detail 

Nice to have:

  • Prior experience in pharmaceutical analytics or consulting 
  • Exposure to AI/ML and Generative AI use cases (Graph RAG, knowledge-driven AI) 
  • Experience defining enterprise ontologies or semantic layers 
  • Certifications in cloud or data architecture are a plus 

We offer:

  • Competitive compensation
  • Flexible working hours
  • Continuous education, mentoring, and professional development programs
  • A team with an excellent tech expertise
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If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!
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