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- Tasks: Enhance customer data strategies and tackle complex data projects using cutting-edge technologies.
- Company: Leading cloud data platform provider with a focus on innovation.
- Benefits: Competitive salary, equity opportunities, and remote work flexibility.
- Why this job: Join a dynamic team and make a real impact in the data landscape.
- Qualifications: Expertise in building data platforms and familiarity with AWS, Azure, or GCP.
- Other info: Strong communication skills needed to engage with diverse stakeholders.
The predicted salary is between 48000 - 72000 £ per year.
A leading cloud data platform provider is seeking data experts to enhance customer data strategies. You will be challenged with complex data projects and will work with cutting-edge technologies, while also benefiting from a competitive salary and equity opportunities.
Ideal candidates will have expertise in building data platforms, familiar with AWS, Azure, or GCP, and adept at translating business needs into technical solutions. Strong communication skills are essential as you will engage with various stakeholders.
Senior Solutions Architect — Data Platform & AI Cloud (Remote) in London employer: Snowflake
Contact Detail:
Snowflake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect — Data Platform & AI Cloud (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and cloud space. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with AWS, Azure, or GCP. Include case studies of past projects where you translated business needs into technical solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to engage with various stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Senior Solutions Architect — Data Platform & AI Cloud (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and cloud technologies like AWS, Azure, or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data strategies and how you can contribute to our team. We love seeing candidates who can translate business needs into technical solutions.
Show Off Your Communication Skills: Since you'll be engaging with various stakeholders, it's crucial to demonstrate your strong communication skills. In your application, give examples of how you've effectively communicated complex ideas in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Snowflake
✨Know Your Tech Inside Out
Make sure you’re well-versed in the cloud platforms mentioned, like AWS, Azure, or GCP. Brush up on your knowledge of data architecture and be ready to discuss how you've built data platforms in the past. This will show that you can translate complex technical concepts into solutions that meet business needs.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice articulating your thoughts clearly and concisely. Prepare examples of how you've successfully engaged with stakeholders in previous projects. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about past challenges you've encountered in data projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Research the Company and Its Culture
Familiarise yourself with the company’s mission, values, and recent projects. Understanding their approach to customer data strategies will help you tailor your answers and show genuine interest. Plus, it’ll give you a chance to ask insightful questions at the end of the interview.
