Sr Data Modeler Fort Worth, TX, 76102

Sr Data Modeler Fort Worth TX 76102

bvseeking a Senior Data Modeler to join our Data Engineering team. Our group is a highly technical mix of engineers analysts and architects focused on building high-quality scalable and repeatable data solutions. We partner with business units across the company to deliver trusted data that powers both day-to-day healthcare operations and advanced analytics-ultimately helping more people get the medicines they need to live healthier lives.

What Youll Do:

The Sr. Data Modeler will design develop and maintain data models that support transactional systems (FHIR/canonical models operational data stores interoperability) and analytical environments (data warehouses data marts BI dashboards and advanced analytics platforms). Youll ensure data is structured efficiently to enable real-time operational workflows as well as large-scale analytical insights.

* Our preferred candidate will reside in the Columbus OH area however we will consider a highly qualified candidate who resides in our other hub cities of Atlanta GA or Irving TX or a fully remote candidate.

*At this time we are not able to offer sponsorship for employment visas. This includes individuals currently on F-1 OPT STEM OPT or any other visa status that would require future sponsorship. Candidates must be authorized to work in the United States on a permanent basis without the need for current or future sponsorship.

Responsibilities:

Design and implement conceptual logical and physical data models for both transactional healthcare applications and analytical/reporting use cases.

Develop and maintain FHIR-aligned and canonical data models to support interoperability patient/provider/drug mastering and integration with FHIR servers.

Design and optimize analytical models (dimensional wide-table Data Vault) that power dashboards self-service analytics and AI/ML workloads.

Partner with product engineering DBAs data engineers and business analysts to translate business requirements into scalable data architecture.

Support ETL/ELT and real-time data pipelines to ensure efficient integration transformation and availability across operational and analytical layers.

Conduct data profiling lineage analysis and quality checks to ensure models deliver trusted consistent information.

Document metadata data dictionaries and lineage across both transactional and analytical domains.

Apply data governance and compliance best practices to meet regulatory requirements (HIPAA SOX GDPR etc.)

Skills Youll Need:

Bachelors degree in Computer Science Information Systems or related field.

7 years of technical and professional experience.

5 years of hands-on data modeling and database design experience ideally in healthcare.

Experience in FHIR (Fast Healthcare Interoperability Resources) and HL7 standards for transactional healthcare data preferred.

Strong knowledge of analytical modeling (dimensional/star schema Data Vault warehouse/lakehouse environments).

Experience with ETL/ELT processes and modern data pipeline development.

Familiarity with data governance lineage and compliance requirements in healthcare.

Strong analytical and problem-solving skills with excellent attention to detail.

Preferred Skills:

Experience with cloud-based healthcare data platforms (Azure GCP AWS Databricks Snowflake etc.).

Working knowledge of modern data catalogs metadata tools and security frameworks.

Ability to balance operational and analytical priorities in data design.

Collaborative mindset with the ability to partner across technical and business functions.