The GCP Technical Architect – Pre-Sales (Cloud & Data Engineering) is responsible for end-to-end solution architecture, data platform design, and technical strategy during the sales lifecycle. This role requires collaboration with Sales, Business Development, Google teams, and Delivery to create secure, scalable, and cost-optimized cloud and data architectures on Google Cloud, aiding customers in application modernization and data utilization.
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Key Responsibilities:
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Pre-Sales & Customer Engagement:
- 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 relating to cloud infrastructure, data platforms, and analytics.
- Deliver technical presentations, demos, and PoCs for cloud modernization and data engineering use cases.
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Cloud & Data Solution Architecture:
- Design end-to-end GCP architectures covering compute, networking, and security.
- Architect hybrid and multi-cloud solutions (on-prem ↔ GCP, AWS/Azure ↔ GCP).
- Apply Well-Architected Framework principles across security, reliability, performance, cost, and operations.
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Data Engineering & Analytics Architecture:
- Design modern data platforms on GCP including data ingestion, data lakes, and data warehousing.
- Architect batch and real-time data pipelines with scalability, reliability, and governance.
- Enable AI/ML-ready data architectures for downstream analytics, BI, and machine learning workloads.
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Cost, FinOps & Commercial Support:
- Build TCO, ROI, and cost models for cloud infrastructure and data platforms.
- Optimize architectures for performance versus cost trade-offs.
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Delivery Alignment & Governance:
- Ensure clean handover from pre-sales to delivery teams.
- Identify architectural risks early and define mitigation strategies.
Required Skills & Experience:
- Deep hands-on experience with core GCP services.
- Strong knowledge of Kubernetes (GKE), microservices, CI/CD, and Infrastructure as Code (Terraform).
- Expertise in enterprise-scale data platforms and BigQuery architecture.
- Proven experience in enterprise solutioning and pre-sales architecture.
- Strong stakeholder communication skills, including the ability to explain complex data architectures to non-technical stakeholders.
Certifications (Preferred):
- Google Professional Cloud Architect
- Google Professional Data Engineer
- Google Professional Cloud Security Engineer
- Kubernetes / DevOps certifications
Language Requirements:
Proficient in English (additional language skills may be advantageous).
Location: Riyadh, Saudi Arabia
Work Conditions: On-site, Full-time
Experience Required: 10–16 years (Cloud, Data Platforms, and Customer-Facing Architecture)
