Enterprise Architect

Responsibilities:

Lead the development of strategic target consent and preference management architecture. 
Develop scalable, hierarchical data models for consent management. 
Implement event-driven architecture using a message broker for real-time data flow. 
Ensure synchronization and reporting of Patient_ID changes from MDM to consumers. 
Implement logging and observability using Splunk. 
Incorporate static code analysis with SonarQube. 
Develop front-end solutions using React and Node.js, and backend solutions with Java Spring. 
Ensure data security and manage data at rest and archival processes. 
Build domain-level solutions with robust database integration. 
Implement security-based access controls and integrate for communication. 
‘Must Have’ Experience:

Overall industry experience: 20+ years, minimum 5 years of experience in enterprise-level architecture 
Experience in product development rather than services. 
6+ years of central platform development experience or any experience with consent and preference solution is preferred. 
4+ years of solution architecture experience. 
Ability to architecture a distributed highly performant and scalable system” 
Exceptional communication skills for presenting and influencing various stakeholders including senior leadership 
Proven relationship-building skills, facilitating win-win solutions and obtaining organizational support. 
Innovative thinking beyond traditional boundaries. 
Experience collaborating with diverse teams including offshore teams 
Diverse and deep experience in microservices architecture, domain-driven design, and RESTful services, including GraphQL. 
 

Experience with the following:

Large scale APIs, Apache Kafka. 
Backend development with Java Spring. 
Message brokers for event publication from Identity Management Systems. 
Experience with scalable hierarchical data models, data migration, managing data at rest, and data archival processes. 
Publishing and synchronizing Patient IDs from MDM to consumers. 
Logging into Splunk for observability. 
Dashboarding with Dynatrace. 
Building domain-level solutions. 
Database-level integration with other applications. 
Experience with MongoDB and PostgreSQL. 
Cloud experience, specifically with Azure.