Datatonic

2 weeks ago

Principal Google Cloud Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 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

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Datatonic

2 weeks ago

Principal Google Cloud Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 minutes agoStatus: Live

Job Summary

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

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

Glassdoor: 4.0

Website LinkedIn Glassdoor