Location: Maryland / Washington DC Metro Area
Job Nature: Contract role with the possibility of extension and follows a hybrid work arrangement
Job Summary:
We are looking for an experienced Data Modeler with strong commercial pharmaceutical / life sciences data knowledge to help develop a common enterprise data model and reusable data products.
Key Responsibilities:
- Design conceptual, logical and physical data models across Patient, HCP, HCO, Product, Payer and Commercial Activity domains.
- Define modelling standards across Bronze, Silver and Gold Databricks medallion layers.
- Establish harmonised entities within the Silver layer and consumption-ready data products within Gold.
- Translate business requirements into entity relationships, data grain, shared dimensions, business definitions and historical tracking approaches.
- Develop source-to-target mappings and reusable data structures supporting multiple commercial data products.
- Partner with business SMEs, architects and engineers across identity resolution, data quality, lineage, governance and patient privacy.
- Support scalable commercial analytics use cases including Patient Journey and HCP 360.
Required Experience:
- Strong SQL and hands-on experience with enterprise, dimensional and canonical data modelling.
- Strong experience with Databricks, Delta Lake and medallion architecture.
- Commercial life sciences / pharmaceutical data experience is essential.
- Understanding of source structures, granularity, coverage limitations, refresh cycles and patient / provider linkage.
- Experience translating commercial pharma use cases into scalable data models.
- Previous experience supporting Patient Journey, Patient 360, HCP 360 or similar commercial data products would be highly desirable.
Strong working knowledge of datasets including:
- Prescription and claims data such as IQVIA and Symphony Health
- CRM platforms such as Veeva
- HCP / HCO reference and master data
- Specialty pharmacy and patient hub feeds