Qualifications

Educational Background

Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related technical discipline. A Master's degree (MBA, MSc in Cloud Computing, or equivalent) is preferred, particularly when paired with deep experience in cloud architecture advisory and enterprise technology strategy.

Certifications

• Google Cloud Professional Cloud Architect

Other Certifications — Good-to-have

• AWS Certified Solutions Architect – Professional

• Microsoft Azure Solutions Architect Expert (AZ-305)

14+ years of relevant experience in consulting, cloud infrastructure, or enterprise technology organisations. At least 6 years leading cloud architecture strategy and advisory engagements for enterprise clients, with a demonstrated track record of executive-level advisory, program leadership, and practice development.

Proven experience owning the end-to-end GCP architecture vision for large transformation programs — setting target-state designs, defining Cloud Foundation Blueprint and Resource Hierarchy standards, and governing architecture quality across delivery teams.

Deep experience shaping cloud security posture for enterprise clients — defining Zero Trust frameworks, IAM governance models, VPC Service Controls, Security Command Center strategy, and policy-as-code approaches at program level.

Experience defining and owning FinOps strategy for large GCP estates — building multi-year cost models, setting Committed Use Discount frameworks, quantifying savings, and presenting financial outcomes to CFO and CIO-level stakeholders.

Experience leading cross-capability cloud architecture programs spanning AI infrastructure, application modernisation, and technology resiliency — positioning the GCP platform as the foundational layer, particularly leveraging GCP's data and AI strengths via BigQuery, Vertex AI, and Gemini.

Demonstrated experience advising clients on AI and agentic AI infrastructure at a strategic level — defining AI-ready landing zones, GPU and TPU environment strategy, and platform choices across Vertex AI, Gemini on GCP, and Google Agentspace.

Demonstrated track record leading business development — shaping RFPs, building commercial relationships, driving account growth, and developing cloud architecture advisory offerings that differentiate the practice.

Key Competencies & Skills

FUNCTIONAL COMPETENCIES

Executive presence, storytelling, and synthesis — able to advise CTO, CIO, and CFO-level stakeholders on cloud architecture strategy, platform choices, and investment decisions, translating technical complexity into clear strategic narratives.

Cloud architecture strategy and roadmap development — able to assess current-state cloud estates, identify architecture gaps, define target-state designs, and build pragmatic transformation roadmaps aligned to business priorities.

Structured problem-solving under ambiguity — able to frame cloud architecture challenges, evaluate trade-offs across cost, performance, security, and resilience dimensions, and produce actionable recommendations.

Financial and commercial acumen — able to build cloud business cases, evaluate hyperscaler commercial models, quantify FinOps value levers, and support investment decisions across cloud platform choices.

Business development and solutioning leadership — experience shaping RFP responses, leading large solutioning efforts, and building cloud advisory propositions that differentiate the practice in the market.

TECHNICAL COMPETENCIES

GCP cloud architecture — expert-level mastery of Cloud Foundation Blueprints, Resource Hierarchy design, Organisation Policies, VPC and Cloud Interconnect networking, compute (Compute Engine, GKE, Cloud Run, Cloud Functions), storage (Cloud Storage, Filestore), databases (Cloud SQL, AlloyDB, Spanner, BigQuery, Bigtable), IAM, Security Command Center, and Google Cloud Operations Suite. Able to define architecture standards and govern quality across large programs. Working knowledge of AWS and Azure for cross-cloud advisory.

Cloud security architecture — expert ability to define Zero Trust frameworks, IAM governance models, VPC Service Controls, Security Command Center strategy, and policy-as-code approaches at program and enterprise level.

Cloud FinOps — expert ability to define multi-year FinOps strategies, set Committed Use Discount frameworks, build executive-facing cost models, and quantify value from rightsizing and architectural optimisation using GCP Billing and the Recommender API.

Infrastructure as code and platform engineering — expert advisory fluency across Terraform, Cloud Deployment Manager, Config Connector, Cloud Build, and Cloud Deploy; able to set IaC governance standards and define DevSecOps pipeline design for large programs.

Observability architecture — expert ability to define enterprise observability strategies using Google Cloud Operations Suite (Cloud Monitoring, Cloud Logging, Cloud Trace) and third-party platforms such as Datadog and Dynatrace.

Containers and cloud-native patterns — deep knowledge of Kubernetes (GKE, Cloud Run), Anthos Config Management, microservices architecture, serverless patterns, and cloud-native developer platform design; able to advise on platform engineering strategy.

AI and agentic AI infrastructure — expert advisory knowledge of Vertex AI, Gemini on GCP, Google Agentspace, and BigQuery ML; able to define AI-ready landing zone standards, GPU and TPU environment strategy, and enterprise-scale AI infrastructure frameworks.

Ecosystem advisory — deep knowledge of Google Cloud partner ecosystem, ISV/MSP landscape, CUD/SUD commercial models, and Google alliance strategy; able to advise clients on build-buy-partner decisions at enterprise level.

Additional Information

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