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).
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.
Expertise in Data Architecture, databases, and cloud platforms (Azure, GCP, AWS etc.)
In-depth knowledge of healthcare interoperability standards (HL7, FHIR, CCDs, HIE, USCDI-US Core etc.).
Proficiency in SQL and NoSQL databases, PySpark and Python.
Experience with data modeling tools like Erwin.
Experience with integration tools like Azure Data Factory, Databricks, Kafka, IBM Datastage, Informatica etc.
Understanding of business intelligence (BI) and analytics platforms.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills to collaborate with cross functional teams.
Ability to work independently and manage multiple priorities.