Google Cloud Architect – Data & AI - Dubai

Dubai, United Arab Emirates

Valtech

At Valtech, we offer solutions designed to achieve the exceptional, helping our clients leap beyond sameness and maximize their full potential.

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Valtech is a global business transformation agency focused on innovation with technology at its core. Our Data & AI service line is rapidly expanding in MENA as part of our 2025-2026 GTM strategy. 

Leveraging our strong partnership with Google Cloud, we are delivering cutting-edge data-driven solutions that empower businesses to make smarter decisions, automate operations, and unlock the full potential of AI.

Role Overview

We are seeking a Google Cloud Architect – Data & AI to join our growing team in Dubai, playing a key role in shaping and implementing data-driven solutions across the APMENA region. This position will be instrumental in designing, developing, and optimizing AI-powered data platforms on Google Cloud Platform (GCP), helping enterprises leverage cloud-native technologies for advanced analytics, AI/ML, and data governance. 

Additionally, this role has a strong pre-sales focus, requiring close collaboration with Google’s customer engineering team to drive customer engagements, proof-of-concepts, and solution demonstrations.

Key Responsibilities

1. Business Development and Pre-Sales

  • Engage in pre-sales activities, including client workshops, technical demos, and solution presentations to showcase GCP capabilities.
  • Partner closely with Google Cloud’s partner and customer engineering teams to co-develop solutions, execute proofs-of-concept, and ensure seamless technical enablement.
  • Collaborate with Google Cloud to drive joint go-to-market initiatives and participate in co-innovation projects.
  • Act as a thought leader in the region by contributing to Valtech’s Data & AI practice and engaging with clients on emerging technologies.
  • Be a point of contact into Google, liaising with the Google engineering teams to ensure our sales and project teams receive the required support from the vendor.
  • Assist the Solutions Director in developing our capabilities and services portfolio.
  • Attend Google Cloud technical events and briefings, using new knowledge gained to help enable the wider team.
  • Be an advocate for Google Cloud amongst colleagues, providing a valuable contribution and helping to build the internal Google Cloud community.

2. Strategy and Technical Leadership

  • Lead the architecture, design, and implementation of Data & AI solutions on GCP, ensuring scalability, security, and performance.
  • Define best practices for data architecture, data governance, and AI model deployment within enterprise environments.
  • Provide guidance on data security, compliance, and cloud cost optimization.
  • Develop and optimize data pipelines, MLOps workflows, and real-time analytics architectures.
  • Drive upskilling and certifications for our development teams in APMENA, fostering innovation and technical excellence.

3. Client Engagement and Project Delivery

  • Collaborate with clients and internal teams to understand business challenges and translate them into data-driven solutions leveraging GCP services like BigQuery, Vertex AI, Dataflow, and Dataplex.
  • Work closely with engineering teams to implement AI-driven personalization, data-driven marketing, and advanced analytics solutions.
  • Manage stakeholder relationships and work across multi-region teams to deliver high-impact projects.
  • Ensure successful implementation and adoption of Data & AI solutions by clients, balancing technical execution with business outcomes.

Required Skills & Experience

  • 5+ years of experience in cloud architecture with a strong focus on Data & AI solutions on GCP.
  • Proven expertise in BigQuery, Vertex AI, and Looker.
  • Strong understanding of Google Cloud’s generative AI solutions, such as Gemini, embeddings and Agent Builder.
  • Strong understanding of data governance, data engineering, and MLOps best practices.
  • Experience with machine learning model deployment and AI-driven analytics architectures.
  • Proficiency in Python, SQL, and Terraform for cloud automation and data workflows.
  • Google Cloud Professional certifications (e.g., Professional Machine Learning Engineer, Professional Data Engineer, and Professional Cloud Architect)
  • Strong stakeholder management skills and experience working across multi-region teams.
  • Proven experience in pre-sales, client engagement, and delivering technical presentations.
  • Ability to work in a fast-paced consulting environment, managing multiple projects simultaneously.

Why Join Valtech?

  • Be part of an innovative and rapidly growing Data & AI team in MENA.
  • Work on high-impact projects across multiple industries, driving real business transformation.
  • Collaborate with Google Cloud on cutting-edge Data & AI solutions.
  • Engage in pre-sales activities, influencing strategic decisions, and shaping Valtech’s GCP offerings in APMENA.
  • Enjoy a flexible, hybrid work environment with opportunities for global exposure.

If you're passionate about data, AI, and cloud solutions and want to be part of a dynamic team driving innovation across the APMENA region, apply now!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture BigQuery Consulting Dataflow Data governance Data pipelines Engineering GCP Gemini Generative AI Google Cloud Looker Machine Learning MLOps Model deployment Pipelines Python Security SQL Terraform Vertex AI

Perks/benefits: Career development Flex hours Team events

Region: Middle East

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