Senior Cloud Engineer developing and managing cloud - based infrastructure security and networking. Collaborating with teams and ensuring compliance across multi - cloud environments.
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.
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
Location requirements
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