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- Tasks: Design and implement Data Vault 2.0 architecture while analysing complex insurance data.
- Company: Leading data and AI services firm in the UK with a focus on innovation.
- Benefits: Competitive salary, professional development, and opportunities for mentorship.
- Why this job: Join a dynamic team and shape the future of data architecture in a thriving industry.
- Qualifications: 15+ years experience, strong communication skills, and proficiency in Snowflake and Power BI.
- Other info: Opportunity to mentor teams and lead technical initiatives.
The predicted salary is between 54000 - 84000 £ per year.
A leading data and AI services firm in the United Kingdom seeks a Snowflake Data Architect with over 15 years of experience. The role involves designing and implementing Data Vault 2.0 architecture, analyzing complex insurance data, and collaborating with business stakeholders to meet specific data requirements.
Candidates must have:
- Strong communication skills
- Technical leadership experience
- Proficiency in Snowflake and Power BI
- The ability to mentor engineering and analytics teams
Senior Snowflake Data Architect & Data Vault Lead employer: Intuition IT Solutions Ltd
Contact Detail:
Intuition IT Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Snowflake Data Architect & Data Vault Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space, especially those who work with Snowflake or Data Vault. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those involving Data Vault 2.0 and complex data analysis. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview by practising common questions related to Snowflake and Power BI. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise and leadership experience.
✨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 proactive and engaged in their job search.
We think you need these skills to ace Senior Snowflake Data Architect & Data Vault Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and Data Vault 2.0. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've collaborated with stakeholders and led teams in the past.
Show Off Your Communication Skills: Since strong communication is key for this position, make sure your application reflects that. Use clear and concise language, and don’t forget to proofread for any typos or errors before hitting send!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Intuition IT Solutions Ltd
✨Know Your Snowflake Inside Out
Make sure you’re well-versed in Snowflake’s features and functionalities. Brush up on your knowledge of Data Vault 2.0 architecture, as you’ll likely be asked to discuss how you’ve implemented it in past projects.
✨Showcase Your Communication Skills
Since the role involves collaborating with business stakeholders, practice articulating complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical teams in previous roles.
✨Prepare for Technical Leadership Questions
Expect questions about your experience in leading teams and mentoring others. Think of specific instances where you guided a project or helped a colleague overcome a challenge, and be ready to share those stories.
✨Familiarise Yourself with Insurance Data
Given the focus on analysing complex insurance data, do some research on common data challenges in the insurance sector. Be prepared to discuss how you would approach these challenges using Snowflake and Power BI.
