Healthcare Data Modeler — Cloud-Native Data Architect

HCA Healthcare, Inc.; Nashville (TN); Hybrid; USD 120,000 - 160,000; Full time

Job summary

HCA Healthcare, Inc. is seeking an experienced Data Modeler to lead the design and implementation of scalable, secure data products on Google Cloud.

You will transform raw data into actionable insights, bridging business needs with technical solutions across the enterprise. The role focuses on data architectures, governance, and enterprise standards, partnering with Data Product Owners to align with clinical and operational goals.

Qualifications

• Bachelor's degree in CS or related field required.
• Master's degree preferred.
• 3+ years in data management, data products, or analytics.
• Proficiency in SQL and database design.
• Knowledge of metadata management and data cataloging.
• Experience with GCP BigQuery is a plus.
• Experience with Git/GitHub version control.

Responsibilities

• Design and implement scalable, secure data products on Google Cloud.
• Bridge business needs and technical solutions with data architectures.
• Develop data architecture roadmaps aligned with business priorities.
• Ensure data governance, security, and compliance best practices are followed.
• Collaborate with Data Product Owners to meet operational and analytical needs.
• Improve data quality through automated validation and ETL processes.

Skills

SQL proficiency

Data modeling

Python

GCP BigQuery

Git/GitHub

ETL pipelines

Data governance

Communication

Education

Bachelor's in Computer Science or related field

Master's preferred

Tools

GitHub

GCP Dataflow

Cloud Composer

Job description

HCA Healthcare, Inc. is seeking an experienced Data Modeler to lead the design and implementation of scalable, secure data products on Google Cloud.

You will transform raw data into actionable insights, bridging business needs with technical solutions across the enterprise. The role focuses on data architectures, governance, and enterprise standards, partnering with Data Product Owners to align with clinical and operational goals.