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For Companies At a Glance
- Tasks: Shape cloud architecture for innovative AI and data projects with cutting-edge technology.
- Company: Join Datatonic, a leading Google Cloud partner driving AI transformation.
- Benefits: Enjoy 25 days holiday, health perks, gym discounts, and a hybrid work model.
- Why this job: Be at the forefront of AI and cloud technology, making a real impact.
- Qualifications: Experience in cloud architecture, strong communication skills, and a passion for innovation.
- Other info: Collaborate with experts in a dynamic, Agile environment and grow your career.
The predicted salary is between 36000 - 60000 £ per year.
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 will engage 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 will 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 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, hiring 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?
- Holiday: 25 days plus bank holidays.
- 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 rising 1% per year of service to a max of 10%.
- Life Insurance: 3× your base salary.
- Income Protection: up to 75% of base salary, up to 2 years.
- Cycle to Work Scheme.
- Tech 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 Harrow on the Hill employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect (Cloud GCP) in Harrow on the Hill
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. The more people you know, the better your chances of landing that AI Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to cloud technologies and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and team members.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our innovative team at Datatonic.
We think you need these skills to ace AI Architect (Cloud GCP) in Harrow on the Hill
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 worked on. 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 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 appreciate candidates who can explain technical concepts in a way that’s easy to understand, especially since this role involves client engagement.
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 Stuff
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss your experience with cloud architectures, data migration, and machine learning projects. The more specific examples you can provide, the better!
✨Showcase Your Communication Skills
Since this role is client-facing, practice explaining complex technical concepts in simple terms. Think about how you would present your ideas to someone without a technical background. Clear communication can set you apart!
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in cloud architecture or project management. Prepare some scenarios from your past experiences where you successfully navigated obstacles or led a project to success.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers! Ask them about their current projects or challenges they face. This shows your interest in the company and helps you gauge if it’s the right fit for you.
