GCP Architect

GCP Technical Architect – Pre-Sales (Cloud & Data Engineering)

Location

APMEA

Experience

10–16 years (Cloud, Data Platforms, and Customer-Facing Architecture)

The GCP Technical Architect – Pre-Sales (Cloud & Data Engineering) owns end-to-end solution architecture, data platform design, and technical strategy during the sales lifecycle. The role partners with Sales, Business Development, Google teams, and Delivery to craft secure, scalable, and cost-optimized cloud and data architectures on Google Cloud
, helping customers modernize applications and unlock value from data.

This role is critical in positioning cloud-native data platforms, analytics, and AI-ready architectures while ensuring commercial viability and delivery readiness.

• Own technical discovery, architecture definition, and solution storytelling for cloud and data-led deals
• Translate business use cases into GCP-based cloud and data architectures
• Engage with CXOs, Chief Data Officers, Architects, and Engineering leaders
• Lead RFP/RFI responses covering cloud infrastructure, data platforms, and analytics
• Deliver technical presentations, demos, and Po Cs for cloud modernization and data engineering use cases
• Design end-to-end GCP architectures across:
• Compute: GCE, GKE, Cloud Run, App Engine
• Networking: VPCs, Shared VPC, Interconnect, VPN, Load Balancing
• Security: IAM, KMS, Secret Manager, VPC-SC, Security Command Center
• Architect hybrid and multi-cloud solutions (on-prem ↔ GCP, AWS/Azure ↔ GCP)
• Apply Well-Architected Framework principles across security, reliability, performance, cost, and operations

• Design modern data platforms on GCP
  , including:
• Data warehousing & analytics:
  Big Query
• Architect batch and real-time data pipelines with scalability, reliability, and governance in mind
• Define data modeling, partitioning, clustering, and performance optimization strategies in Big Query
• Design data governance, security, and lineage using IAM, DLP, Dataplex, and cataloging capabilities
• Enable AI/ML-ready data architectures for downstream analytics, BI, and machine learning workloads

• Build TCO, ROI, and cost models for cloud infrastructure and data platforms
• Advise on Fin Ops practices for Big Query, Dataflow, storage tiers, and streaming workloads
• Optimize architectures for performance vs. cost trade-offs
• Partner with Sales to align scope, commercials, and assumptions

• Ensure clean handover from pre-sales to delivery teams
• Define migration and modernization roadmaps (apps + data)
• Identify architectural risks early and define mitigation strategies
• Provide architectural oversight during early delivery phases
• Mentor delivery teams on cloud and data best practices

• Deep hands-on experience with core GCP services
• Strong knowledge of Kubernetes (GKE), microservices, CI/CD, and IaC (Terraform)
• Expertise in cloud networking and security design
• Expertise in Big Query architecture, performance tuning, and cost optimization
• Experience with batch and streaming pipelines
• Understanding of data governance, compliance, and data quality frameworks
• Proven experience in enterprise solutioning and pre-sales architecture
• Strong understanding of data and application modernization patterns
• Ability to balance technical depth with business and commercial realities

• Strong whiteboarding, storytelling, and executive communication skills
• Ability to explain complex data architectures to non-technical stakeholders
• Excellent documentation and proposal-writing skills

• Google Professional Cloud Architect
• Google Professional Data Engineer
• Google Professional Cloud Security Engineer
• Kubernetes / Dev Ops certifications (plus)

• Experience working with Google partner ecosystem and Google field teams
• Exposure to regulated industries (BFSI, Healthcare, Public Sector)
• Experience with AI/ML platforms, MLOps, and GenAI data foundations

• Win rate and deal value for cloud + data-led opportunities
• Customer confidence in proposed cloud and data architectures
• Strong alignment between data strategy, cloud platform, and business outcomes