At a Glance
- Tasks: Shape AI architecture and lead innovative projects on Google Cloud.
- Company: Join Datatonic, a leading partner in cloud and AI transformation.
- Benefits: Enjoy 25 days holiday, private health insurance, and gym discounts.
- Why this job: Make a real impact in AI and data while working with cutting-edge technology.
- Qualifications: Experience in cloud architecture and strong programming skills required.
- Other info: Collaborate with experts and enjoy excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Shape the Future of AI & Data with Us. At Datatonic, we are Google Cloud's premier partner in cloud & 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 a 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-generation machine learning 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 client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical into something digestible for clients.
Successful candidates will bring multiple years' experience with cloud platforms, preferably with Google Cloud. 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:
- 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 languages 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 preferred.
- Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.
What's in It for You? We believe in empowering our team to thrive, with benefits including:
- Holiday: 25 days plus bank holidays (obviously!)
- Health Perks: Private health insurance (Vitality Health) and Smart Health Services.
- Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).
- Hybrid Model: A WFH allowance to keep you comfortable.
- Learning & Growth: Access to platforms like Udemy to fuel your curiosity.
- Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)
- Life Insurance: (3 x your base salary!)
- Income Protection: (up to 75% of base salary, up to 2 years)
- Cycle to Work Scheme
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? Apply now and take your career to the next level.
AI Architect (Cloud GCP) in London employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect (Cloud GCP) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Datatonic. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Share your GitHub or any relevant work during interviews to demonstrate your expertise in cloud technologies.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in past projects. Think about how you can translate complex concepts into simple terms for clients.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Datatonic team!
We think you need these skills to ace AI Architect (Cloud GCP) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Architect role. Highlight your experience with Google Cloud and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Include specific examples of cloud architectures you've designed or implemented, especially those involving machine learning and data analytics. This is your chance to shine!
Communicate Clearly: Remember, we value effective communication. Use clear and concise language in your application. Avoid jargon where possible, and make sure your ideas are easy to digest. We want to see how you can translate complex concepts into simple terms!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you're keen to join our team at Datatonic!
How to prepare for a job interview at Datatonic
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform and its services. Be ready to discuss your hands-on experience with cloud architectures, data migration, and machine learning projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Prepare for Client Engagement Scenarios
Since the role is client-facing, think about how you would explain complex technical concepts in simple terms. Prepare examples of past experiences where you successfully communicated with stakeholders or led architecture reviews. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Showcase Your Project Leadership Skills
Be ready to discuss specific projects you've led from conception to completion. Highlight your problem-solving skills and how you managed challenges along the way. This will illustrate your capability to oversee enterprise-scale Data and AI projects effectively.
✨Demonstrate Your Innovative Thinking
Think of innovative ideas or approaches you've introduced in previous roles. Be prepared to share how these ideas enhanced project outcomes or improved methodologies. This will align well with Datatonic's focus on pushing the boundaries of technology.