Data Architect (Pharma)

TL;DR

Data Architect (Pharma): Designing and implementing enterprise knowledge graph solutions to translate complex business requirements into structured data models with an accent on Neo4j/Amazon Neptune and semantic layer development. Focus on bridging the gap between business stakeholders and technical teams to operationalize graph-based architectures within the pharmaceutical market access domain.

Location: Must be based in Chicago, IL (On-site)

Company

hirify.global is a technology services company specializing in digital transformation and data solutions for the life sciences and pharmaceutical industries.

What you will do

• Translate business requirements into structured data models, ontologies, and graph schemas.
• Design and implement enterprise knowledge graph solutions using Neo4j or Amazon Neptune.
• Develop domain ontologies and taxonomies to standardize business terminology.
• Align multiple data sources into a unified semantic layer to enable context-driven insights.
• Collaborate with data engineering and AI/ML teams to operationalize graph-based solutions.
• Act as a functional SME for pharma market access concepts and drive solution adoption.

Requirements

• Must be based in Chicago, IL for on-site work.
• Strong experience with Knowledge Graph technologies (Neo4j or Amazon Neptune).
• Proficiency in Cypher, SPARQL, or Gremlin and graph schema design.
• Deep understanding of the Pharma Market Access domain.
• Experience with data integration, pipeline design, and cloud platforms (AWS/Azure/GCP).
• Excellent communication skills with experience in client-facing roles.

Nice to have

• Prior experience in pharmaceutical analytics or consulting.
• Exposure to AI/ML and Generative AI use cases like Graph RAG.
• Experience defining enterprise ontologies or semantic layers.
• Certifications in cloud or data architecture.

Culture & Benefits

• Competitive compensation package.
• Flexible working hours.
• Continuous education and professional development programs.
• Mentoring opportunities within a team of high-level technical experts.