Senior Data Modeler

Job Title : Senior Data Modeler

Location : Remote

Duration : / Term : 12+ months

Job Description :

Experience Desired : 8+ Years

This role will focus on designing, optimizing, and implementing data models as the organization transitions its enterprise data to the Databricks Lakehouse platform. The ideal candidate will have strong data modeling expertise, healthcare domain knowledge, and experience in modern cloud-based data platforms.

Key Responsibilities :

• Collaborate with business analysts, data architects, and engineering teams to translate business requirements into logical and physical data models.
• Design scalable, flexible, and performance-optimized data models to support analytics, reporting, and machine learning workloads on Databricks.
• Map and migrate legacy data structures (from EHR, EMR, billing, and operational systems) to the Databricks Lakehouse environment.
• Ensure compliance with HIPAA and other healthcare data privacy regulations in data model design. (Good to have)
• Define and maintain data dictionaries, entity-relationship diagrams, and metadata documentation.
• Work with ETL / ELT developers to ensure models are implemented effectively and aligned with data ingestion and transformation pipelines.
• Partner with data governance teams to enforce data quality, standardization, and stewardship best practices.
• Optimize models for structured, semi-structured, and unstructured healthcare data (e.g., HL7, FHIR, claims data, imaging metadata).

Qualifications

Key Skills :

Data Modeling, cloud, lakehouse, Databricks, Snowflake, healthcare data structures