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.)
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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