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We are seeking an experienced Solutions Architect to design and oversee the implementation of our next-generation healthcare data platform. The ideal candidate will architect scalable, secure solutions that aggregate data from disparate healthcare systems and apply AI/ML capabilities to deliver actionable insights. This role is critical for our expansion from one-way to two-way interoperability and the implementation of advanced AI features in our product roadmap.
Key Responsibilities
- Design and architect complex, scalable healthcare data solutions using Azure cloud technologies
- Lead the technical design for our healthcare data integration platform, focusing on security, scalability, and high availability
- Develop architecture for data pipelines that consolidate information from diverse EHR, PM, imaging, and other healthcare systems
- Create blueprints for AI/ML implementations that enhance clinical decision-making and workflow optimization
- Develop security frameworks that ensure HIPAA compliance and data protection
- Collaborate with engineering teams to implement architectural designs
- Evaluate and recommend appropriate technologies for implementation of our product roadmap
- Create technical documentation for all architectural components
- Mentor and provide technical guidance to engineering team members
Required Qualifications
- 8+ years of experience in solutions architecture, with at least 4 years focused on healthcare data systems
- Minimum 5 years of hands-on software engineering experience (architecture and implementation) with .NET/Java/Node and Angular/React on cloud platforms (non-negotiable)
- Minimum 3 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark (non-negotiable)
- Demonstrated experience designing and implementing Azure-based healthcare SaaS platforms
- Deep understanding of healthcare data standards (HL7, FHIR, X12, DICOM) and interoperability challenges
- Experience architecting systems that aggregate healthcare data from multiple sources
- Strong background in designing applications utilizing AI/ML for healthcare insights
- Experience with modern API design and implementation (REST, GraphQL)
- Knowledge of security best practices for handling PHI and ensuring HIPAA compliance
- Familiarity with EHR systems and healthcare workflows
- Experience designing data workflows that incorporate AI/ML components
- Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders
Preferred Qualifications
- Experience with ophthalmology or specialist care data systems
- Azure certifications (Solutions Architect Expert, Data Engineer)
- Experience with real-time healthcare data processing and analytics
- Background in designing systems for clinical decision support
- Knowledge of medical imaging systems and data workflows
- Experience with two-way healthcare system synchronization
- Understanding of value-based care models and supporting data requirements
Seniority level
Seniority level
Mid-Senior level
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Engineering and Information TechnologyIndustries
IT Services and IT Consulting
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