$61.25 - $78.75/hr
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Job description
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, 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.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Architect?
A: To succeed as a Data Architect, key technical skills include proficiency in data modeling, database design, and data warehousing, as well as expertise in data management tools such as ETL (Extract, Transform, Load) software and data governance platforms. Additionally, strong analytical and problem-solving skills, along with the ability to communicate complex technical concepts to non-technical stakeholders, are essential soft skills for this role. By combining these technical and soft skills, Data Architects can effectively design and implement data systems that support business growth and drive informed decision-making.
Q: What is the career path for a Data Architect?
A: A Data Architect's typical career progression involves starting as a Junior Data Architect or Data Analyst, where they develop foundational skills in data modeling, database design, and data warehousing. As they gain experience, they move into mid-level roles such as Senior Data Architect or Data Governance Lead, where they oversee data strategy, architecture, and compliance. Ultimately, senior Data Architects can transition into leadership positions like Chief Data Officer or Director of Data Engineering, where they drive organizational data vision and strategy.\n\nKey opportunities for skill development and professional growth in this role include learning cloud-based data platforms, advanced data modeling techniques, and data governance frameworks, as well as staying up-to-date with emerging technologies like artificial intelligence and machine learning. \n\nLong-term career prospects for Data Architects may include transitioning into leadership roles, pursuing specialized roles like Data Scientist or Business Analyst, or exploring adjacent fields like IT Consulting or Business Intelligence.