At a Glance
- Tasks: Shape architecture for AI projects and provide expert advice to clients.
- Company: Join Datatonic, a leading Google Cloud partner in AI and data transformation.
- Benefits: Enjoy health perks, gym discounts, hybrid work, and learning opportunities.
- Other info: Collaborate with experts in a dynamic, agile environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in cloud technologies and strong communication skills required.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the AI Architect (Google Cloud) role at Datatonic. 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.
What You’ll Do
- Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
- Oversee the design and implementation of enterprise-scale Data and AI projects.
- Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.
- Shape the architecture team and mentor team members while promoting technical excellence.
- Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
- Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
- Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
- Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
- Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.
- Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
- Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
- Guide team members, fostering a culture of growth and innovation.
What You’ll Bring
- Hands-on experience in designing and implementing large-scale big data cloud architectures.
- Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.
- Strong analytical skills with a focus on innovation and technical excellence.
- Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.
- Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.
- Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.
- Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.
- Proficiency in working with container technologies and leveraging them effectively in projects.
- Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.
- Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.
Bonus Points If You Have
- Google Cloud or AWS Certified Solutions Architect certification.
- Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.
- Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.
- Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.
- Familiarity with Agile frameworks, including Scrum.
- Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.
- 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:
- Private health insurance (Vitality Health) and Smart Health Services.
- 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).
- A WFH allowance to keep you comfortable.
- Access to platforms like Udemy to fuel your curiosity.
- (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)
- (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 (Google Cloud) in England employer: Datatonic
At Datatonic, we pride ourselves on being a premier partner of Google Cloud, fostering a vibrant work culture that champions innovation and collaboration. Our London-based team enjoys exceptional benefits, including private health insurance, gym discounts, and a hybrid working model, all while having access to continuous learning opportunities that empower personal and professional growth. Join us to work with cutting-edge technologies in a supportive environment where your expertise in AI and cloud architecture will truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect (Google Cloud) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Datatonic or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous projects related to cloud architecture and AI. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of Google Cloud and relevant technologies. Mock interviews with friends or mentors can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining Datatonic and being part of our innovative team.
We think you need these skills to ace AI Architect (Google Cloud) in England
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 do at Datatonic!
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Include specific examples of your work with cloud technologies, machine learning, and data architecture. We love seeing how you’ve tackled complex challenges in your previous roles.
Communicate Clearly:Remember, effective communication is key! Use clear and concise language in your application. We’re looking for someone who can turn technical jargon into digestible insights for clients, so show us you can do that right from the start.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining 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 Google Cloud knowledge. Familiarise yourself with the latest features and services, especially those related to machine learning and data analytics. Being able to discuss specific use cases or projects where you've applied these technologies will really impress the interviewers.
✨Showcase Your Communication Skills
Since this role involves client engagement, practice explaining complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical stakeholders in the past. This will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design architectures on the spot. Brush up on your problem-solving skills and be ready to think critically about how you would approach various cloud architecture challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Highlight Your Leadership Experience
As a potential team leader, be prepared to discuss your experience in mentoring others and leading projects. Share specific examples of how you've guided teams through complex implementations or fostered a culture of innovation. This will show that you're not just technically proficient but also a great leader.
