Data Modeler - Healthcare Databricks Environment (Fully Remote)
Palni Inc
United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Third Normal Form
Data Governance
Data Systems
Data Vault Modeling
Data Warehousing
Database Queries
Dimensional Modeling
Meta-Data Management
Oracle (Applications)
Reference Data
Standard Sql
Oracle Enterprise Manager
+3 more
Data Lakes
User Identification
Databricks
Job description
We are seeking an experienced Data Modeler with strong Healthcare Payer expertise to support the modernization of a legacy Oracle Enterprise Data Warehouse into a Databricks Lakehouse environment. The ideal candidate will design scalable, governed data models that support enterprise healthcare analytics, reporting, and data products across Member, Claims, Eligibility, Provider, and Benefits domains., * Design and maintain logical and physical data models for Databricks Lakehouse (Gold/UDL and Platinum layers).
- Model core healthcare payer entities including Member, Eligibility, Coverage, Claims, Claim Lines, and Provider.
- Design dimensional models (Facts & Dimensions) to support reporting and analytics.
- Define data relationships, keys, history tracking (SCD), and reference data strategies.
- Partner with Data Engineers to implement scalable Delta Lake data solutions.
- Validate data models through reconciliation, data quality, and governance processes.
- Collaborate with business stakeholders, architects, and SMEs to translate requirements into reusable data products.
- Ensure compliance with HIPAA, PHI/PII handling, metadata, lineage, and governance standards.
Requirements
- 6+ years of Data Modeling experience.
- Strong Healthcare Payer domain experience with Claims, Member, Eligibility, Provider, and Benefits data.
- Hands-on experience with conceptual, logical, physical, and dimensional data modeling.
- Strong SQL skills and experience with Databricks, Delta Lake, and Medallion Architecture.
- Experience with Data Vault, 3NF, and Kimball dimensional modeling methodologies.
- Knowledge of data governance, metadata management, lineage, and HIPAA compliance.
- Ability to work with both business and technical stakeholders.
Preferred Qualifications
- Experience migrating Oracle EDW environments to Databricks Lakehouse.
- Familiarity with Unity Catalog, Data Quality frameworks, and MDM/Identity Resolution.
- Experience in large Healthcare Payer organizations.
Must-Have Skills
- Healthcare Payer Data Modeling
- Databricks & Delta Lake
- SQL
- Claims & Eligibility Data
- Kimball Dimensional Modeling
- Data Vault / 3NF Modeling
- Oracle EDW Migration
- HIPAA & Data Governance
Benefits & conditions
Depends on Experience
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