Consultant - Data Modeler

At HCA Healthcare, Digital Transformation & Innovation brings advanced engineering together with our commitment to the care and improvement of human life. HCA Healthcare - India is helping shape the next generation of healthcare technology through artificial intelligence, modern data platforms, cloud-based services, intelligent automation and secure digital experiences built for real healthcare environments.

Our teams solve complex challenges where trust, reliability, privacy and speed matter. We turn data into insights, improve workflows through intelligent products, and develop responsible AI solutions that help clinicians, care teams and operational teams serve patients.

From India, you will help move technology beyond experimentation and into production. You will build solutions designed to perform reliably, protect sensitive information and deliver measurable healthcare impact.

This is technology with purpose - built to perform, designed for trust and focused on improving healthcare.

Position Summary

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.