Data Modeller – Healthcare Domain

Overview

We are seeking an experienced Data Modeller with expertise in designing and implementing data models for modern data platforms. This role requires deep knowledge of data modeling techniques, healthcare data structures, and experience with Databricks Lakehouse architecture. The ideal candidate will have a proven track record of translating complex business requirements into efficient, scalable data models that support analytics and reporting needs.

About the Role

As a Data Modeller, you will be responsible for designing and implementing data models for our Databricks-based Modern Data Platform. You will work closely with business stakeholders, data architects, and data engineers to create logical and physical data models that support the migration from legacy systems to the Databricks Lakehouse architecture, ensuring data integrity, performance, and compliance with healthcare industry standards.

Key Responsibilities

Design and implement logical and physical data models for Databricks Lakehouse implementations

Translate business requirements into efficient, scalable data models

Create and maintain data dictionaries, entity relationship diagrams, and model documentation

Develop dimensional models, data vault models, and other modeling approaches as appropriate

Support the migration of data models from legacy systems to Databricks platform

Collaborate with data architects to ensure alignment with overall data architecture

Work with data engineers to implement and optimize data models

Ensure data models comply with healthcare industry regulations and standards

Implement data modeling best practices and standards

Provide guidance on data modeling approaches and techniques

Participate in data governance initiatives and data quality assessments

Stay current with evolving data modeling techniques and industry trends

Qualifications

Extensive experience in data modeling for analytics and reporting systems

Strong knowledge of dimensional modeling, data vault, and other modeling methodologies

Experience with Databricks platform and Delta Lake architecture

Expertise in healthcare data modeling and industry standards

Experience migrating data models from legacy systems to modern platforms

Strong SQL skills and experience with data definition languages

Understanding of data governance principles and practices

Experience with data modeling tools and technologies

Knowledge of performance optimization techniques for data models

Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred

Professional certifications in data modeling or related areas

Technical Skills

Data modeling methodologies (dimensional, data vault, etc.)

Databricks platform and Delta Lake

SQL and data definition languages

Data modeling tools (erwin, ER/Studio, etc.)

Data warehousing concepts and principles

ETL/ELT processes and data integration

Performance tuning for data models

Metadata management and data cataloging

Cloud platforms (AWS, Azure, GCP)

Big data technologies and distributed computing

Healthcare Industry Knowledge

Healthcare data structures and relationships

Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.)

Healthcare data standards (HL7, FHIR, etc.)

Healthcare analytics use cases and requirements

Optionally Healthcare regulatory requirements (HIPAA, HITECH, etc.)

Clinical and operational data modeling challenges

Population health and value-based care data needs

Personal Attributes

Strong analytical and problem-solving skills

Excellent attention to detail and data quality focus

Ability to translate complex business requirements into technical solutions

Effective communication skills with both technical and non-technical stakeholders

Collaborative approach to working with cross-functional teams

Self-motivated with ability to work independently

Continuous learner who stays current with industry trends

What We Offer

Opportunity to design data models for cutting-edge healthcare analytics

Collaborative and innovative work environment

Competitive compensation package

Professional development opportunities

Work with leading technologies in the data space

This position requires a unique combination of data modeling expertise, technical knowledge, and healthcare industry understanding. The ideal candidate will have demonstrated success in designing efficient, scalable data models and a passion for creating data structures that enable powerful analytics and insights.

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