Data Architect-Healthcare Payer

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.

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  Mandatory skills:
• 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.
  
  
  Preferred Qualifications
• 10 years of experience in Data Architecture preferably in the healthcare industry.
• 5 years of experience with 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 GCP Databricks Snowflake etc.)
• Experience with major EHR systems like Epic Cerner etc. is plus.