Hybrid Cloud Architect

at CYOS Solutions

• Job title: Cloud Architect
• Job type: Contract
• Experience level: Mid level, Senior
• Salary: A$120 - A$145 per hour
• Degree requirement: No Education Requirement
• Tech skills: Azure, Cloud, ETL
• Location requirements: Hybrid, Canberra, Australia

About the role

• Cloud Architect providing expert architectural guidance on cloud capabilities and data platforms for the Department of Veterans' Affairs. Leading modernization initiatives to align with the DVA Digital Strategy 2025-2030.

Responsibilities

• Provide expert architectural guidance to high-priority projects, ensuring solutions align with the DVA Digital Strategy and target state architecture.
• Develop High-Level Designs (HLDs) and solution blueprints that bridge the gap between complex business requirements and technical implementation.
• Conduct technical assessments of new solution requests and External Costing Requests (ECRs) to ensure value for money.
• Collaborate with Services Australia architects to ensure alignment between DVA-specific solutions and shared services ecosystem.
• Lead the technical design of DVA’s future-state cloud capability, including the definition of the Cloud Operating Model and Landing Zone architecture.
• Develop lifecycle roadmaps for DVA’s SaaS portfolio to prevent platform sprawl and ensure architectural coherence.
• Provide technical leadership on the migration of legacy on-premises applications to cloud-native or hybrid environments.
• Embed 'Security by Design' principles into all architectural patterns, ensuring compliance with the ISM, PSPF, and Essential Eight.
• Design the security architecture for the department’s cloud capabilities and SaaS integrations.
• Support the technical design of the Security and Information and Event Management (SIEM) capability uplift.
• Design the technical strategy for consolidating DVA’s legacy data stores into a unified modern cloud data platform.
• Demonstrate hands-on capability in designing and building modern data pipelines (ETL/ELT) and data flows within a cloud environment (e.g., Azure Data Factory, Databricks).
• Design architectures that support the scaling of Enterprise Analytics and Artificial Intelligence (AI) capabilities.
• Define technical data governance standards.

Requirements

• Proven experience applying architectural frameworks (e.g., TOGAF, SABSA, DAMA) in a complex enterprise environment.
• Deep technical understanding of cloud platforms (specifically Microsoft Azure) and experience in designing secure, scalable cloud-native solutions.
• Demonstrated experience in modern data engineering, including cloud-based data ingestion, transformation.