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For Companies 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, WFH allowance, and learning opportunities.
- 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.
- Other info: Collaborate with experts in a dynamic, agile environment.
The predicted salary is between 43200 - 72000 £ 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
- 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:
- 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%)
- 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 (Google Cloud) in London employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect (Google Cloud) 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 applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Google Cloud and AI. When you get the chance to chat with recruiters or hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for the interview like it’s the Super Bowl! Research Datatonic, understand their projects, and think about how your experience aligns with their needs. Be ready to discuss your past work and how you can contribute to their innovative culture.
✨Tip Number 4
Don’t forget to follow up! After an interview, shoot a quick thank-you email to express your appreciation for the opportunity. It shows professionalism and keeps you on their radar as they make their decision.
We think you need these skills to ace AI Architect (Google Cloud) 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 need to understand your expertise just as much as you do! Use clear and concise language in your application. Avoid jargon unless it’s necessary, and make sure your achievements are easy to digest.
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 keen on 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 engineering. Being able to discuss specific projects or case studies where you've successfully implemented these technologies will really impress.
✨Showcase Your Communication Skills
Since this role involves client engagement, practice explaining complex technical concepts in simple terms. Prepare examples of how you've effectively 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 challenges in cloud architecture.
✨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 and growth.
