Full-Time Principal Industry Consultant – GCP
Endava is hiring a remote Full-Time Principal Industry Consultant – GCP. The career level for this job opening is Expert and is accepting Berlin, Germany based applicants remotely. Read complete job description before applying.
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We are seeking a highly skilled and experienced German speaking Principal Industry Consultant – GCP Cloud Architecture for our operations in Germany. This is a client-facing role.
Key Responsibilities
Client Engagement & Consulting:
- Act as a trusted advisor to clients, providing deep industry knowledge and technical expertise in GCP cloud architecture and transformation.
- Lead cloud strategy discussions, defining future-state architectures and roadmaps.
- Drive large-scale cloud migration and modernization initiatives.
- Engage in early project phases to provide architectural guidance.
Cloud Architecture & Solution Design:
- Develop cloud-based architectures aligning with industry standards and best practices, focusing on GCP and multi-cloud environments.
- Define technical strategies for cloud migration, modernization, and optimization.
- Provide governance and oversight for cloud implementations.
Collaboration & Knowledge Sharing:
- Work with internal delivery teams to ensure architecture alignment.
- Act as a bridge between clients, internal teams, and technology partners.
- Contribute to the development of best practices and reusable assets.
Skills & Experience:
- Extensive experience in Google Cloud cloud architecture, consulting, or solution design.
- Proven expertise in designing and implementing large-scale cloud solutions, preferably on GCP.
- Strong understanding of enterprise IT landscapes, cloud transformation strategies, and industry-specific cloud adoption trends.
- Hands-on experience in leading cloud migration and modernization projects.
- Excellent stakeholder management and communication skills, translating technical concepts into business value.
- Ability to support client engagements in both German and English.
- Familiarity with cloud-native architectures, DevOps practices, and security best practices.
- (Optional) Previous collaboration with Google Cloud engineering teams or other hyperscalers.
- (Optional) Experience implementing AI projects with Google Cloud products.