Principal Cloud Architect - AWS in London

Principal Cloud Architect - AWS in London

London Full-Time No working from home possible
Datatonic

At a Glance

  • Tasks: Lead innovative cloud architecture projects and mentor a dynamic team of experts.
  • Company: Join Datatonic, a premier partner in AI and Google Cloud.
  • Benefits: Enjoy 25 days holiday, private health insurance, and gym discounts.
  • Other info: Collaborate with top tech partners and access learning platforms for growth.
  • Why this job: Shape the future of AI and data while making a real impact.
  • Qualifications: Experience in cloud technologies and strong communication skills required.

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 Principal 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-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 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 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:
  • 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.

Location: London

Employment Type: Full time

Location Type: On-site

Department: Technical Delivery

Principal Cloud Architect - AWS in London employer: Datatonic

Datatonic is an exceptional employer that fosters a vibrant and innovative work culture, perfect for those passionate about cloud technologies and DevOps practices. With a strong emphasis on employee growth, you will have ample opportunities to enhance your skills while working alongside talented teams on cutting-edge projects for prestigious clients. Located in a dynamic scale-up environment, Datatonic offers a unique chance to make a significant impact in the tech landscape while enjoying a collaborative and supportive atmosphere.

Datatonic

Contact Details:

Datatonic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Cloud Architect - AWS in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Datatonic or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Datatonic.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Datatonic.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Datatonic that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Principal Cloud Architect - AWS in London

Cloud Architecture
Machine Learning
Data Engineering
Analytics
Google Cloud Platform
AWS
Project Management

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Datatonic.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Datatonic and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Datatonic

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Datatonic uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.