Data Modeler

Data Modeler

Long Term

Nashville, TN

Description

HCA Healthcare is looking for an experienced and innovative Data Modeler to lead the design and implementation of scalable, secure, and high-performance data products on Google Cloud. In this role, you will be at the forefront of transforming raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem.

The Data Modeler will play a critical role in bridging the gap between business needs and technical solutions. You will work closely with Data Product Owners to understand product requirements, ensure alignment with business goals, and design solutions that meet operational and analytical needs.

This position requires a deep understanding of the architecture of business data source systems, their structures, communication protocols, and interfaces. The ideal candidate will demonstrate a mastery of data analysis, logical data modeling, and the ability to identify opportunities for data reuse and transformation. You will design data architectures that address gaps, optimize performance, and enforce enterprise standards in cybersecurity, governance, and compliance.

As a key contributor to HCA's data strategy, you will also develop and maintain a comprehensive data architecture roadmap, ensuring alignment with business priorities and evolving technology trends. By integrating advanced analytics and machine learning capabilities, you will help HCA Healthcare maximize the value of its data to improve clinical outcomes and operational efficiency.

Major Responsibilities :

Data Analysis & Logical Modeling

Architect and oversee enterprise-wide data modeling initiatives

Lead the development of scalable data models for enterprise applications

Develop and enforce best practices for schema evolution and data interoperability

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 data models or object 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.

Implement enterprise data management practices, standards, and frameworks for Data Integration

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

Collaboration with Data Product Owners

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

Conduct stakeholder meetings to review and validate data models

Work closely with data engineers to implement complex models

Advocate for data quality and integrity across all projects

Business System Architecture Knowledge

Demonstrate expertise in core business applications and support systems.

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

Oversee cloud data architecture across multiple business domains

Evaluate and recommend new data modeling tools and technologies

Optimize cloud data structures for performance and scalability.