At a Glance
- Tasks: Design and develop data products focusing on data modelling and architecture.
- Company: Leading data solutions company in the UK with a strong reputation.
- Benefits: Competitive pay of up to £500 per day based on skills and experience.
- Why this job: Join a dynamic team and shape the future of data governance.
- Qualifications: 8+ years of experience in data architecture, Snowflake, and SQL expertise required.
- Other info: Contract role lasting 3-6 months with opportunities for impactful work.
The predicted salary is between 100000 - 130000 £ per year.
A data solutions company in the United Kingdom is seeking a Mid-Senior level Data Architect for a contract role lasting 3-6 months. The position involves developing data products with a focus on data modelling and architecture, requiring over 8 years of experience and strong skills in Snowflake and SQL.
Candidates should possess expertise in data governance and clear communication with product teams.
This role offers up to £500 per day, depending on skills and experience.
Data Product Architect: Snowflake, Lineage & Governance in England employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Architect: Snowflake, Lineage & Governance in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with Snowflake or data governance. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to data modelling and architecture. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since this role involves working closely with product teams, being able to articulate your ideas clearly is key to landing the job.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Product Architect: Snowflake, Lineage & Governance in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and data governance. 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 the perfect fit for this Data Product Architect role. We love seeing enthusiasm and a clear understanding of the position.
Showcase Your Communication Skills: Since this role involves working closely with product teams, make sure to highlight your communication skills in your application. We value candidates who can convey complex ideas clearly and effectively.
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 this exciting opportunity!
How to prepare for a job interview at Intelix.AI
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake skills before the interview. Be ready to discuss your experience with data modelling and architecture, as well as any specific projects you've worked on that utilised Snowflake. This will show your potential employer that you're not just familiar with the tool, but that you can leverage it effectively.
✨Showcase Your Data Governance Expertise
Since this role emphasises data governance, prepare examples of how you've implemented governance frameworks in past projects. Discuss the challenges you faced and how you overcame them. This will demonstrate your ability to manage data integrity and compliance, which is crucial for the position.
✨Communicate Clearly and Confidently
As the job requires clear communication with product teams, practice articulating your thoughts on complex data concepts in a straightforward manner. You might want to do a mock interview with a friend or colleague to refine your delivery. Remember, it's not just about what you know, but how you convey that knowledge.
✨Prepare Questions That Matter
At the end of the interview, you'll likely have the chance to ask questions. Prepare thoughtful queries about the company's data strategy, team dynamics, or upcoming projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.