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# Data Modeler

- **Company:** EXPERT RECRUITING SOLUTIONS, LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Data Governance, Data Infrastructure, Data Structures, Reference Data, Salesforce.Com, SQL Databases, Data Lakes, Data Lineage, Physical Data Models, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/522431a5-94d3-4bc1-89da-f0a3aa916198/data-modeler

## About the Role

* 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., * 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.

## Description

Job DescriptionPOSITION 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.