Data Architect Health Care Payer Domain

Position Title:

Data Architect -

Health Care Payer Domain Location:

Philadelphia,PA (Hybrid)

Employment Type:

Contract to

Hire Experience Level:

10+ years About the Role 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 working with a range of stakeholders, including business and IT teams, to ensure data architecture supports business needs while adhering to compliance and security standards. The ideal candidate will have experience in HEDIS and CMS Interoperability (FHIR). Key Responsibilities Design and implement Integrated, scalable, efficient, and secure data systems for storing and processing, to support healthcare analytics and data-driven decision making. Design and implement scalable, flexible, and secure interoperability solutions aligned with the

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 with 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 a 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, ensuring 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.

Experience & Skills:

Expertise in Data Architecture, databases, and cloud platforms (Azure, Google Cloud Platform, 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. Preferred Qualifications 10+ years of experience in Data Architecture, preferably in the healthcare industry. 5+ years of experience in managing large-scale data systems in healthcare. 5+ years of experience in designing and implementing interoperability solutions in healthcare. 5+ years of experience in solutioning cloud data platforms (Azure, AWS, Google Cloud Platform, Databricks, Snowflake, etc.) Experience with major EHR systems like Epic, Cerner, etc. is a plus.