Senior Data Modeler

Sanford Health
Metomen, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 137K

Job location

Remote
Metomen, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Data Architecture
Data Dictionary
Data Governance
Data Structures
Data Warehousing
Database Development
Digital Assets
Dimensional Modeling
Entity Relationship Models
Industry Standard Architecture
Metadata
PowerDesigner
Cloud Services
Software Engineering
SQL Databases
Data Streaming
Google Cloud Platform
Snowflake
Data Lake
Information Technology
Star Schema
Tools for Reporting
Physical Data Models
Epic Caboodle
Data Pipelines

Job description

The Senior Data Modeler is responsible for architecting, governing, and advancing the enterprise data modeling framework to ensure data structures support organizational strategy, scalability, and analytic maturity. Provides expert-level leadership across conceptual, logical, and physical modeling and ensures data assets are accurate, consistent, reusable, and aligned with enterprise architecture standards. Champions data modeling best practices, improves enterprise data quality, and shapes the long-term direction of data architecture. The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual, logical, and physical data models. Designs and governs high-quality data structures using advanced normalization, dimensional modeling, star schema design, and domain-driven design. Produces and maintains detailed Entity-Relationship Diagrams (ERDs) to ensure clarity, consistency, and alignment across data ecosystems.

Provides authoritative oversight and approval for enterprise-wide data models, ensuring compliance with architectural standards, data governance policies, and Technology Solutions (TS) and Architecture COE principles. Will establish, refine, and enforce modeling standards, patterns, and best practices used across the organization to include comprehensive data dictionaries, metadata and data flow documentation. Ensures data models adhere to healthcare security and regulatory requirements (e.g. HIPAA, GDPR, etc.). Design schemas for data lakes and data warehouses (star, snowflake, normalized, denormalized).

Leads cross-functional technical discussions, serving as a mediator and subject matter expert to ensure data modeling needs are accurately understood and implemented. Contributes to the evolution of healthcare-based enterprise data models, ensuring interoperability, scalability, and alignment with organizational goals. Will collaborate closely with principal data architects to influence data architecture decisions and strategic direction.

Strengthens data modeling discipline across applications and business areas, ensuring high-quality data capture and data pipeline alignment. Must anticipate and identify opportunities for optimization, modernization, and innovation in data modeling and propose enhancements to align with industry advancements. Partners with data engineers, data architects and data analysts to resolve integration challenges.

Will mentor and develop data modelers, engineers, and analysts, promoting modeling excellence and knowledge sharing across teams. Responsible for designing, building, and optimizing data models for platforms such as Snowflake, Redshift, and similar cloud-based database systems, ensuring performance, scalability, and architectural integrity.

Requirements

Bachelor's degree required in computer science, management information systems, or related field.

Minimum of five years of experience in data modeling, database design and development, systems or applications development, or related field. Must be proficient in data modeling tools such as Erwin, ER/Studio, PowerDesigner, or other similar tools. Proficiency with SQL, strong understanding of data pipeline and data warehousing principles and concepts is required.

Strong communication and documentation skills, with the ability to explain complex concepts to both technical and non-technical stakeholders. Strong problem-solving skills and attention to detail.

Experience in data modeling and design within the health insurance or health care industry is preferred. Experience with cloud data platforms (e.g., Azure, AWS, or Google Cloud) and healthcare analytics platforms (e.g., Epic Caboodle). Understanding of data lake and lakehouse architectures. Experience with data governance, data quality, and MDM principles. Familiarity with BI/analytics tools and data science needs.

Benefits & conditions

Sanford offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit https://sanfordcareers.com/benefits .

About the company

Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America's heartland.

Apply for this position