Technology Architecture Lead (GCP/Presales/Data & AI)

Mandatory Requirements

• Excellent tack record in Google Cloud Platform (GCP) Resourcing, Presales, Networking & Provisioning, Data & AI
• Hands-on and excellent stakeholder management skills

Ways of Working

1. Enterprise Architecture Leadership

• Define and govern end-to-end cloud and AI architecture blueprints
• Lead architectural design for large-scale enterprise transformation programs
• Establish reusable reference architectures and solution patterns

2. Strategic Platform Alignment

• Serve as the primary technical interface with a global cloud/AI platform partner
• Drive certification depth, specializations, and advanced technical designations
• Provide architectural oversight in strategic co-sell pursuits

3. Technical Strategy

• Lead technical strategy for large, complex bids and transformation deals
• Guide solutioning teams on scalable, cost-optimized cloud-native designs
• Translate business objectives into secure, high-performance technical architectures

4. Innovation & AI Enablement

• Drive adoption of advanced capabilities across AI, data platforms, modern application development, and cloud infrastructure
• Shape next-generation architectures including AI/GenAI-enabled systems, data modernization and analytics platforms, cloud-native microservices architectures, and secure hybrid and multi-cloud environments
• Lead proof-of-concepts and innovation accelerators

5. Technical Governance & Capability Building

• Mentor senior architects and engineering leads
• Promote best practices in DevSecOps, reliability engineering, and cost optimization
• Build deep technical capability aligned to strategic platform priorities

Required Qualifications:

• Strong xperience in enterprise architecture, cloud engineering, or large-scale systems design
• Proven track record leading cloud transformation programs
• Deep expertise in GCP cloud resourcing, networking and provisioning, data products (DAI), modern application architecture, data platforms, and AI/ML ecosystems
• Experience engaging C-suite technology stakeholders (CIO, CTO, CDO)
• Strong understanding of enterprise security, compliance, and governance frameworks
• Demonstrated leadership in complex technical deal shaping

Preferred Qualifications:

• Experience working closely with a leading global hyperscaler ecosystem
• Recognized cloud certifications at professional or expert level
• Experience designing AI-enabled enterprise platforms