Application Architect

Experienced Integration, Data Migration and AI Architect with management skills to act as the technical bridge between customers, business stakeholders, and the delivery team. Will lead solution design, data mapping, migration planning, and technical governance across integration programs - ensuring solutions are robust, auditable, and aligned to enterprise architecture and validation requirements., * Act as primary technical liaison with stakeholders (customers, TAOs, BUIT, business units), manage expectations, and translate business needs into delivery scope.

• Evaluation, Review and Approve architecture artifacts, interface specifications, sequence diagrams, data dictionaries, change/impact assessments, and design decision logs.
• Align AI capabilities with business goals and evaluate new technologies, tools, and platforms (e.g., AWS, OpenAI, LangChain).
• Establish and evangelize standards, patterns, and reusable components for integrations (API conventions, error handling, versioning, logging, monitoring) to ensure consistent, maintainable implementations.
• Evaluate and select vendor / SaaS integration options, middleware and ETL tools, and cloud services; lead technical vendor assessments and ensure vendor deliverables comply with architecture and validation requirements.
• Lead technical workshops, solution and design reviews, and security/architecture gate reviews; provide technical governance and sign-off for solution readiness and cutover.
• Oversee migration activities: lead data migration planning and execution (mapping, extract/transform/load validation, reconciliation) and coordinate end-to-end integration testing and interface validation.
• Manage the risks and issues lifecycle: identify, assess, mitigate, escalate, and report; maintain RAID logs and change control processes.
• Mentor and coach the delivery team on integration best practices, data modelling, and testing for complex migrations.

• Strong problem solving and data analysis skills with a methodical, detail-oriented approach to mapping and reconciliation.
• Deep understanding of distributed systems, API design, and data pipeline construction.
• Strong proficiency in Python, AI, deep learning, and Gen AI frameworks.
• Familiarity with cloud platforms (AWS, Azure, GCP) and cloud-native integration patterns.
• Knowledge of clinical process and data standards
• Excellent verbal and written communication; proven ability to work closely with stakeholders and manage expectations.
• Proven track record reviewing and producing integration and data artefacts: ER diagrams, data dictionaries, sequence diagrams, S2T mapping documents.
• Experience producing architecture and compliance documentation to support validation and audit activities.
• Experience establishing integration standards (APIs, error handling, logging, monitoring) and applying them across teams.
• Experience planning and leading data migrations and integration test cycles, including UAT coordination and cutover readiness.
• Strong governance skills: RAID management, change control, vendor assessment, and technical sign-off responsibilities.
• Proven experience of mentoring technical teams and providing hands-on technical leadership.

Nice-to-have

• Experience with API design (REST/GraphQL), message brokers, and event-driven architecture
• Knowledge of clinical data standards and experience coordinating testing with clinical stakeholders.
• Certifications in cloud or integration technologies and formal training in data governance or data modelling.

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