Principal AI Architect (Google Cloud)

Datatonic
London
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureEducation: mastersSkills: ["Communication","Stakeholder management","Mentorship","Analytical thinking","Technical thought leadership"]

Shape cloud and data platform architecture for enterprise Data & AI initiatives, advising customers pre- and post-sales and guiding solution design for complex migrations. Lead technical thought leadership, oversee large-scale Data and AI implementations, and collaborate with GTM teams to create market-ready solutions. Partner with Google Cloud and analytics ecosystems (Tableau/Looker) while mentoring team members and embedding best practices across delivery.

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FursaFursa
Datatonic
Datatonic
2 months ago

Principal AI Architect (Google Cloud)

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Last checked: 51 minutes agoStatus: Live

Job Summary

Shape cloud and data platform architecture for enterprise Data & AI initiatives, advising customers pre- and post-sales and guiding solution design for complex migrations. Lead technical thought leadership, oversee large-scale Data and AI implementations, and collaborate with GTM teams to create market-ready solutions. Partner with Google Cloud and analytics ecosystems (Tableau/Looker) while mentoring team members and embedding best practices across delivery.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Shape architecture for key customer projects, including pre- and post-sales architectural advice and thought leadership.
  • •Oversee the design and implementation of enterprise-scale Data and AI projects.
  • •Support sales engagements by providing technical expertise and helping scope solutions for challenging requirements.
  • •Mentor team members and shape the architecture team while promoting technical excellence and best practices.
  • •Conduct architecture reviews for key clients and share knowledge via technical collateral and thought leadership materials.

Pay and Benefits

Perks:Health InsuranceGym MembershipHome OfficeLearning BudgetPensionLife InsuranceIncome ProtectionPaid Leave

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science or a related technical discipline.
  • •Hands-on experience designing and implementing large-scale big data cloud architectures.
  • •Proven ability to manage projects end-to-end from conception to completion in cloud environments.
  • •Multiple years programming experience including Python, Java, and SQL for scalable, high-performance solutions.
  • •Extensive experience in technical pre-sales and solution scoping for challenging requirements.
Experience:AIData engineeringAnalyticsCloudMachine learning
Education:Master's in Computer Science (or related technical discipline)
Skills:CommunicationStakeholder managementMentorshipAnalytical thinkingTechnical thought leadership
Certifications:Google Cloud or AWS Certified Solutions Architect
Tech Stack:Google Cloud PlatformAWSPythonJavaSQLBigQueryAzure SynapseRedshiftOracleTeradataSparkHadoopBeamFlinkTableauLookerData StudioPowerBIQlikContainers

Company Brief

Datatonic
Datatonic is a cloud data and AI consultancy that builds data platforms, analytics, MLOps and generative AI solutions for enterprise clients, partnering closely with Google Cloud to deliver data-driven business outcomes.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2015
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