Data Architect with Health Care Payer Domain MUST HAVE
Philadelphia, PA (Hybrid)
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 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.
Experience
& 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.