At a Glance
- Tasks: Lead cloud architecture design and support advanced data science environments.
- Company: Rapidly growing technical consultancy with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex infrastructure challenges for clients.
- Qualifications: 5+ years in cloud architecture, strong Linux and networking skills.
- Other info: Dynamic role with hands-on client interaction and leadership opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A rapidly growing technical consultancy is seeking a Lead Cloud Solutions Architect to design and support cloud-based computing environments used for advanced data science and statistical analysis in highly regulated environments. This is a hands-on, client-facing leadership role — ideal for someone who can both architect solutions and troubleshoot complex technical environments directly with customers.
Key Responsibilities
- Lead technical discussions with clients and translate requirements into scalable cloud architectures
- Design and deploy secure, reliable computing environments for data science platforms
- Build and manage cloud infrastructure (VMs, networking, access control, monitoring)
- Support installation and migration of statistical computing environments (e.g. SAS, R)
- Troubleshoot Linux, containerised, and cloud infrastructure issues in client environments
- Lead project delivery and act as the primary technical contact for key accounts
Key Requirements
- 5+ years experience in cloud architecture / cloud engineering
- Strong Linux systems and networking experience
- Hands-on experience with containers and orchestration (Docker, Kubernetes)
- Experience supporting data science / statistical computing environments
- Expert in R and/or Python
- Client-facing consulting or solutions architect background
- Cloud experience (AWS preferred)
Additional Experience
- Experience with data science platforms (e.g. Posit, Domino, Sycamore)
- Exposure to clinical research / GxP environments
- CI/CD pipeline design and deployment
This role suits someone who enjoys solving complex infrastructure problems, working directly with clients, and leading technical delivery for high-impact analytics platforms.
Lead Cloud Solutions Architect in Edinburgh employer: Consult
Contact Detail:
Consult Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Cloud Solutions Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead Cloud Solutions Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud architecture projects, especially those involving data science platforms. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and client-facing skills. Practice explaining complex concepts in simple terms, as you'll need to translate requirements into scalable architectures for clients.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Lead Cloud Solutions Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Cloud Solutions Architect role. Highlight your experience with cloud architecture, Linux systems, and any client-facing roles you've had. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about cloud solutions and how your background makes you the perfect fit for this role. Don’t forget to mention your hands-on experience with containers and orchestration!
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills, especially in R, Python, and cloud platforms like AWS. We love seeing specific examples of how you've tackled complex problems in previous roles, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Consult
✨Know Your Cloud Inside Out
Make sure you brush up on your cloud architecture knowledge, especially around AWS. Be ready to discuss specific projects where you've designed and deployed cloud solutions, and how you tackled challenges in those environments.
✨Show Off Your Client-Facing Skills
Since this role is client-facing, prepare examples of how you've successfully communicated technical concepts to non-technical stakeholders. Think about times when you translated complex requirements into actionable plans for clients.
✨Demonstrate Your Troubleshooting Prowess
Be prepared to talk through your approach to troubleshooting issues in Linux and containerised environments. Have a couple of real-life scenarios ready where you resolved significant problems, showcasing your analytical skills and hands-on experience.
✨Highlight Your Data Science Experience
Given the focus on data science platforms, be ready to discuss your experience with tools like R or Python. Share specific instances where you've supported statistical computing environments and how you ensured their reliability and security.