Data Modeler

  • Expert In Recruitment Solutions
  • Atlanta, Georgia
  • 10/28/2026
Full time Information Technology Telecommunications SQL CRM

Job Description

Job Description Job Description POSITION OVERVIEWWe are seeking a Data Modeler to join our team in supporting a Databricks unified data platform initiative. The primary focus is building a common data model and developing reusable, high-impact data products such as Patient Journey and HCP 360. This role bridges business strategy and technical execution across critical commercial life sciences data domains.DAY-TO-DAY RESPONSIBILITIES
  • Design conceptual, logical, and physical data models across patient, HCP, HCO, product, payer, and commercial activity domains.
  • Define and maintain modeling standards across Bronze, Silver, and Gold medallion layers on Databricks Delta Lake.
  • Establish harmonized entities in the Silver layer and consumption-ready data products in the Gold layer.
  • Translate complex business requirements into entity relationships, data grain, shared dimensions, business definitions, and historical tracking strategies.
  • Develop detailed source-to-target mappings and build reusable data structures that support multiple downstream data products.
  • Collaborate closely with business SMEs, architects, and data engineers on identity resolution, data quality, lineage, governance, and patient privacy compliance.
REQUIRED SKILLS
  • SQL (5 years) - Expert ability with enterprise, dimensional, and canonical data modeling techniques.
  • Databricks & Delta Lake (3 years) - Hands-on experience designing schemas for Medallion Architecture (Bronze, Silver, Gold).
  • Commercial Life Sciences Data (3 years) - Deep knowledge of IQVIA, Symphony Health, Veeva CRM, HCP/HCO reference data, Specialty Pharmacy/Patient Hub feeds, and Payer/Formulary datasets.
ADDITIONAL DESIRED SKILLS
  • Experience designing scalable data models for Patient Journey Analytics and HCP 360 use cases.
  • Familiarity with data granularity, refresh cycles, coverage limitations, and provider linkage methodologies.
  • Background in data governance, data lineage, and HIPAA/patient privacy requirements.