Healthcare Data Architect

The Data Architect is responsible for designing, building, and maintaining the data infrastructure and solutions that enable efficient and secure collection, storage, and analysis of healthcare data in different data platforms (Data Warehouse & Data Lake). This role involves in working range of stakeholders including business and IT teams to ensure data architecture support business needs while adhering to compliance and security standards. The ideal candidate will have experience in HEDIS, CMS Interoperability (FHIR).

Key Responsibilities

Design and implement Integrated, scalable, efficient, and secure data systems for storing, processing, to support healthcare analytics and data driven decision making.

Design and implement scalable, flexible, and secure interoperability solutions aligned to USCDI-US Core compliant.

Develop and maintain data models (logical, physical and conceptual) that support healthcare-specific requirements (Clinical, Claims, Member, Provider, EHR etc.) and other data architecture artifacts.

Evaluate and recommend data management technologies, platforms, frameworks, and methodologies that optimize data collection and integration for healthcare applications.

Oversee the implementation of data governance policies to ensure data integrity, quality, security, and compliance and other relevant healthcare regulations to protect sensitive patient information with HIPAA standards.

Ensure data architecture complies with healthcare regulations such as HIPAA, GDPR, and other privacy laws.

Candidates need to be independent thought leaders and able to self-direct.

Possess expertise and sound foundation in data management techniques & principles.

Hands on experience in end-to-end data processing is a must.

Collaborate with Business data analysts, data scientists, IT Professionals, and business leaders to understand their data needs and ensure architecture supports organizational goals.

Optimize data storage solutions, reducing latency and ensuring quick access to real-time and historical data.

Help to establish and enforce data governance frameworks, ensuing data consistency, quality, and standardization across systems.

Stay updated on emerging technologies in healthcare data management.

Propose innovative solutions to enhance data-driven decision-making.

Provide training and guidance to other team members.

The Data Architect is responsible for designing, building, and maintaining the data infrastructure and solutions that enable efficient and secure collection, storage, and analysis of healthcare data in different data platforms (Data Warehouse & Data Lake). This role involves in working range of stakeholders including business and IT teams to ensure data architecture support business needs while adhering to compliance and security standards. The ideal candidate will have experience in HEDIS, CMS Interoperability (FHIR).

Key Responsibilities

Design and implement Integrated, scalable, efficient, and secure data systems for storing, processing, to support healthcare analytics and data driven decision making.

Design and implement scalable, flexible, and secure interoperability solutions aligned to USCDI-US Core compliant.

Develop and maintain data models (logical, physical and conceptual) that support healthcare-specific requirements (Clinical, Claims, Member, Provider, EHR etc.) and other data architecture artifacts.

Evaluate and recommend data management technologies, platforms, frameworks, and methodologies that optimize data collection and integration for healthcare applications.

Oversee the implementation of data governance policies to ensure data integrity, quality, security, and compliance and other relevant healthcare regulations to protect sensitive patient information with HIPAA standards.

Ensure data architecture complies with healthcare regulations such as HIPAA, GDPR, and other privacy laws.

Candidates need to be independent thought leaders and able to self-direct.

Possess expertise and sound foundation in data management techniques & principles.

Hands on experience in end-to-end data processing is a must.

Collaborate with Business data analysts, data scientists, IT Professionals, and business leaders to understand their data needs and ensure architecture supports organizational goals.

Optimize data storage solutions, reducing latency and ensuring quick access to real-time and historical data.

Help to establish and enforce data governance frameworks, ensuing data consistency, quality, and standardization across systems.

Stay updated on emerging technologies in healthcare data management.

Propose innovative solutions to enhance data-driven decision-making.

Provide training and guidance to other team members.