Senior Cloud Architect in London

Energy Jobline CVL; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

25 days holiday

Health & Wellness allowances

WFH equipment allowance

Udemy learning platform

Private pension

Job summary

Datatonic, a premier Google Cloud partner for AI and data, seeks a Senior Google Cloud Architect to lead cloud architecture design, data migrations, and AI projects for world-class clients. You will engage with customers, provide pre- and post-sales guidance, and mentor teams in a fast-paced, expert environment.

You will collaborate with GTM, implement best practices, and work with partners like Google Cloud, Tableau, and Looker to deliver scalable, production-grade solutions while driving

Qualifications

• Bachelor's or master's degree in Computer Science or related field.
• Extensive hands-on experience designing and implementing large-scale cloud data architectures.

Responsibilities

• Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
• Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.
• Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies.
• Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.
• Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
• Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
• Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
• Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
• Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials.
• Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
• Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
• Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.

Skills

Google Cloud

AWS

Pre-sales

Data Architecture

Leadership

Python

Java

SQL

Containerization

Communication

Education

Bachelor's or Master's in Computer Science

Tools

Looker

Tableau

BigQuery

Azure Synapse

Redshift

Data Studio

PowerBI

Qlik

Spark

Beam

Job description

Senior Google Cloud Architect

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform.

By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Your Mission

As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects.

In addition to that, you will be helping us to build out the architectural side of our next- ai products.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture.

The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science.

Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you’ll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.

What You'll Do

• Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
• Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.
• Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies.
• Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.
• Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
• Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
• Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
• Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
• Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials.
• Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
• Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
• Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.

What You'll Bring

• Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline.
• Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.
• End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.
• Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.
• Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.
• Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.
• Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.
• Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.
• Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.
• Programming Proficiency: Multiple years of experience in programming such as Python, Java, and SQL, with a focus on building scalable, high-performance code.
• Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.

Bonus Points If You Have

• Certifications: Google Cloud or AWS Certified Solutions Architect certification.
• ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.
• Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.
• Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.
• Agile Methodologies: Familiarity with Agile frameworks, including Scrum.
• Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience.
• Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.

What's in It for You?

• Holiday: 25 days plus bank holidays (obviously!)
• Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)
• Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)
• Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)
• Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
• Pension: Private Salary Sacrifice Pension available

Why Datatonic?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you!

Are you ready to make an impact?