Position
Title
: Data Architect with Health Care Payer Domain MUST HAVE
Location
: Philadelphia, PA (Hybrid)
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
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.