Job Overview
Location
Gothenburg
Job Type
Full-time
Category
Data Science
Date Posted
May 28, 2026
Full Job Description
đź“‹ Description
- • Serve as a Senior Google Cloud Architect to design and lead enterprise-scale data and AI solutions on Google Cloud Platform for world-class clients.
- • Provide pre- and post-sales architectural guidance to prospects and customers, translating complex business requirements into scalable cloud architectures.
- • Lead the design and implementation of end-to-end data pipelines, machine learning workflows, and data migration projects using Google Cloud technologies.
- • Collaborate with Go-To-Market teams to develop and refine market-ready AI and data solutions, ensuring technical feasibility and governance.
- • Conduct architecture reviews for key clients, delivering actionable recommendations to senior technical and business stakeholders.
- • Define and embed technical best practices across all project deliveries to ensure consistency, quality, and performance.
- • Mentor and grow the architectural team, fostering a culture of innovation, technical excellence, and knowledge sharing.
- • Partner closely with Google Cloud, Tableau, and Looker to integrate and leverage their platforms effectively in client solutions.
- • Contribute to internal knowledge bases with technical documentation, whitepapers, and thought leadership materials on cloud architecture and AI.
- • Work in an agile environment alongside data scientists, machine learning engineers, data analysts, and data engineers to deliver integrated solutions.
- • Support sales efforts by providing technical expertise during client engagements, scoping complex requirements, and championing innovative proposals.
- • Design and implement production-grade cloud solutions covering data storage, security, networking, and compute infrastructure.
- • Utilize container technologies (e.g., Docker, Kubernetes) to build scalable, resilient cloud-native applications and services.
- • Write and review high-performance, scalable code in Python, Java, and SQL to support data processing and automation needs.
- • Stay at the forefront of cloud innovation by evaluating emerging technologies and integrating them into client architectures and internal product development.
- • Engage in customer-facing activities including presentations, workshops, and technical demonstrations to communicate architectural vision and value.
- • Drive the architectural strategy for Datatonic’s next-generation AI products, ensuring alignment with cloud best practices and client needs.
- • Promote continuous learning by leveraging platforms like Udemy and participating in internal technical communities.
🎯 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 on Google Cloud or AWS
- • Proven track record in end-to-end ownership of cloud-based projects from conception to production deployment
- • Strong programming proficiency in Python, Java, and SQL
- • Extensive experience in technical pre-sales and customer-facing architectural consultations
- • Comprehensive knowledge of production-grade cloud technologies including data, security, and networking
🏖️ Benefits
- • 30 days of holiday plus bank holidays
- • 4500 kr per year healthcare allowance (paid monthly after probation)
- • Up to 5000 kr per year wellness allowance (payable on receipt of invoice)
- • 1200 kr WFH equipment allowance (after probation)
- • Access to Udemy for continuous learning and skill development
- • Private salary sacrifice pension plan
Skills & Technologies
About Datatonic Limited
Datatonic is a London-headquartered data and AI consultancy delivering cloud-native analytics, machine-learning engineering, and business intelligence solutions on Google Cloud Platform and Snowflake. Founded in 2012, the company partners with global enterprises to modernize data stacks, implement real-time analytics, and operationalize AI products. Services range from data strategy and architecture to MLOps, custom model development, and managed support. Certified Google Cloud Premier Partner, Snowflake Select Partner, and Looker Partner, Datatonic serves retail, media, finance, and gaming sectors across Europe and North America.
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