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- Tasks: Lead the transformation of analytics capabilities and design innovative cloud solutions.
- Company: A forward-thinking UK-based organisation with a focus on quality outcomes.
- Benefits: Remote flexibility, engagement at Board level, and opportunities for significant impact.
- Why this job: Join a dynamic team driving change and shaping the future of analytics.
- Qualifications: Expertise in Azure or GCP, strong data engineering skills, and experience with complex datasets.
- Other info: Pivotal role with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A UK-based organization is seeking a cloud analytics architect to lead the transformation of their analytics capability. In this pivotal role, you will assess cloud platforms, design, and implement analytics solutions, ensuring a robust end-to-end architecture. The position offers remote flexibility, engagement at the Board level, and focuses on delivering quality outcomes.
Key qualifications include:
- Expertise in Azure or GCP
- Strong data engineering knowledge
- Experience with complex datasets
Join a forward-thinking team driving significant change in the organization.
AI-Ready Cloud & Data Architect (Remote) in London employer: Addition
Contact Detail:
Addition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Ready Cloud & Data Architect (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud and data projects. This is your chance to demonstrate your expertise in Azure or GCP and how you've tackled complex datasets.
✨Tip Number 3
Prepare for interviews by practising common questions related to cloud architecture and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI-Ready Cloud & Data Architect (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms like Azure or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing your data engineering expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to transforming our analytics capability. Let us know what makes you the perfect fit!
Showcase Relevant Projects: If you've worked on complex datasets or implemented analytics solutions before, make sure to mention those projects. We love seeing real-world examples of your work that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Addition
✨Know Your Cloud Platforms
Make sure you brush up on your knowledge of Azure and GCP. Be ready to discuss specific projects where you've implemented solutions using these platforms. Highlight your understanding of their strengths and weaknesses, as this will show your depth of expertise.
✨Showcase Your Data Engineering Skills
Prepare examples that demonstrate your data engineering capabilities. Discuss how you've worked with complex datasets in the past, focusing on the challenges you faced and how you overcame them. This will help illustrate your problem-solving skills and technical prowess.
✨Engage at the Board Level
Since this role involves engagement at the Board level, practice articulating your ideas clearly and concisely. Think about how you can present technical concepts in a way that resonates with non-technical stakeholders. This will showcase your ability to bridge the gap between technical and business perspectives.
✨Emphasise Quality Outcomes
Be prepared to discuss how you ensure quality in your work. Share specific metrics or outcomes from previous projects that highlight your commitment to delivering high-quality analytics solutions. This will align with the organisation's focus on achieving robust results.
