Senior Data Modeler

About the Role

At HCA Healthcare, we invest up to $300 million in programs to support our team members over the course of three years. We are looking for a dedicated Staff Data Modeler to transform raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem.

As a Data Modeler, you will lead the design and implementation of scalable, secure, and high‑performance data products on Google Cloud. You will bridge the gap between business needs and technical solutions, working closely with Data Product Owners, senior leaders, and data engineers.

• Define data modeling standards and frameworks for the organization.
• Work with stakeholders to implement data governance and security controls.
• Perform advanced data analysis to inform design decisions and ensure alignment with business needs.
• Create logical or object data models of moderate complexity to address business challenges.
• Develop data modeling automation frameworks to enhance consistency.
• Implement advanced metadata management and data quality monitoring.
• Define data transformation requirements and implement efficient solutions.
• Ensure data governance and security best practices are followed.
• Participate in code reviews and provide feedback on SQL queries and ETL pipelines.
• Build automated validation processes for data integrity checks.
• Partner with Data Product Owners to gather and refine requirements for data products.
• Work with senior leaders to define enterprise data strategy.
• Translate business needs into technical designs that align with organizational goals.
• Drive adoption of standardized data modeling frameworks.
• Work closely with data engineers to implement complex models.
• Advocate for data quality and integrity across all projects.
• Understand and apply communication protocols and interfaces used by business systems to enable efficient data integration.
• Ensure high availability and scalability in data models.
• Evaluate the adoption of modern data storage and processing paradigms.
• Evaluate and recommend new data modeling tools and technologies.
• Optimize cloud data structures for performance and scalability.
• Translate project‑specific requirements into a cloud structure that meets those requirements.
• Assess and identify gaps in data architecture, systems, and workflows.
• Optimize data models for performance.
• Establish guidelines for schema evolution and data interoperability.
• Recommend and implement changes to improve data quality, accessibility, and consistency.
• Design robust, secure, and scalable schemas and structures for data products.
• Integrate data products with business systems, workflows, and analytical tools.
• Ensure data products are optimized for machine learning, real‑time analytics, and other advanced use cases.
• Identify the best cloud architecture options to help the firm accomplish its strategic goals.
• Maintain and enforce enterprise data architecture guidelines, including governance, cybersecurity, metadata management, and auditability.
• Define best practices for schema versioning and evolution.
• Collaborate with governance teams to enhance metadata management.
• Enforce enterprise‑wide data modeling standards.
• Collaborate across various verticals to ensure compliance and data quality.
• Work with senior team members to establish a data architecture roadmap aligned with HCA’s strategic priorities.
• Continuously evolve the architecture to address emerging technologies and business requirements.

• Bachelor’s degree in Computer Science or a related field, or a combination of education and professional experience.
• Master’s degree in Computer Science or a related field is preferred.
• 5+ years of experience in data management, data products, or analytics.
• Expertise in SQL optimization and data modeling techniques.
• Ability to write, tune, and interpret SQL queries; experience with GCP Big Query is a big plus.
• Hands‑on experience with Git and Git Hub version control.
• Strong ability to present complex technical concepts to leadership.
• Extensive experience in architecture, construction, and implementation of data‑intensive solutions.
• Strong understanding of metadata…