Job Description
Job Description
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.
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.