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Architect

Architect

Virtusa
8-10 Years
Not Disclosed
Early Applicant
  • Posted 11 hours ago
  • Be among the first 10 applicants

Job Description

Requirements & Qualifications

Experience: 8+ years in Enterprise/Solution Architecture or Tech Leadership; 3+ years in healthcare payer/provider domains.

Core Skills: Deep expertise in AWS, Snowflake, Salesforce platforms, SaaS, and enterprise integrations.

Healthcare Knowledge: Strong grasp of claims, care management, clinical operations, provider management, member engagement, and population health.

Standards: Proficiency in healthcare interoperability standards (HL7, FHIR, X12/EDI).

Preferred: Background in Medicare, Medicaid, commercial, or value-based care; exposure to AI/ML-enabled healthcare data products.

Preferred Tools: MuleSoft, Informatica, Databricks, Kafka, Kubernetes, Terraform, or API gateways.

Key Responsibilities

Enterprise Architecture Strategy: Define and maintain EA standards, principles, and technology roadmaps. Develop target-state architectures driving cloud modernization, interoperability, and operational efficiency. Establish governance processes and participate in review boards.

Vendor & Portfolio Management: Oversee vendor SaaS ecosystems across clinical, financial, CRM, and analytics domains. Partner with procurement on evaluations, optimize application portfolios, and enforce security, compliance, and integration standards.

Cloud Architecture & Modernization: Lead cloud-first initiatives (AWS, Snowflake, Salesforce Health/Service Cloud). Design scalable hybrid/multi-cloud systems and patterns for APIs, microservices, serverless, and cloud security. Guide legacy application migrations.

Enterprise Integration & Interoperability: Architect API and integration strategies connecting EHR/EMR, CRM, claims, and care management systems using HL7, FHIR, REST, and event-streaming. Build reusable frameworks and API governance.

AI Enablement & Digital Innovation: Lead healthcare AI strategy using AWS AI/ML, Snowflake Cortex, and Salesforce Einstein. Establish patterns for responsible AI governance, model lifecycles, security, and LLM/copilot integrations.

Leadership & Collaboration: Serve as a trusted advisor to executives and business leaders. Mentor architects and engineers, facilitate planning, and maintain EA documentation.

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