Healthcare Data Architect
Posted Today by 1763020196
Negotiable
Outside
Remote
USA
Summary: The Data Architect for Healthcare is tasked with designing, building, and maintaining data infrastructure that supports the secure collection, storage, and analysis of healthcare data. This role requires collaboration with various stakeholders to ensure that data architecture meets business needs while adhering to compliance and security standards. The ideal candidate should have experience with healthcare data standards and be capable of independent thought leadership. Key responsibilities include developing data models, implementing governance policies, and optimizing data storage solutions.
Key Responsibilities:
- Design and implement integrated, scalable, efficient, and secure data systems for healthcare analytics.
- Develop and maintain data models that support healthcare-specific requirements.
- Evaluate and recommend data management technologies and methodologies.
- Oversee the implementation of data governance policies to ensure data integrity and compliance.
- Ensure data architecture complies with healthcare regulations such as HIPAA and GDPR.
- Collaborate with business analysts, data scientists, and IT professionals to understand data needs.
- Optimize data storage solutions for quick access to real-time and historical data.
- Propose innovative solutions to enhance data-driven decision-making.
- Provide training and guidance to team members.
Key Skills:
- Expertise in Data Architecture, databases, and cloud platforms (Azure, Google Cloud Platform, AWS).
- In-depth knowledge of healthcare interoperability standards (HL7, FHIR, CCDs, HIE, USCDI-US Core).
- 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.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage multiple priorities.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Architect- Healthcare
Tentative Duration - 6 months+
Location - Remote / EST hours
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, 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.