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- Tasks: Shape and govern the data landscape, implementing scalable AI data services.
- Company: Leading Investment Management firm in Greater London.
- Benefits: 12-month contract with competitive pay and professional growth opportunities.
- Why this job: Join a dynamic team and drive impactful data strategies for AI innovation.
- Qualifications: Experience in data governance, modelling, and proficiency in Snowflake and SQL.
- Other info: Collaborative environment with a focus on efficient data servicing.
The predicted salary is between 60000 - 80000 £ per year.
An Investment Management firm in Greater London is seeking an experienced Data Architect for a 12-month fixed-term contract. The successful candidate will be responsible for shaping and governing the organization’s data landscape, focusing on implementing scalable data services for AI capabilities.
Strong experience in data governance, data modelling, and familiarity with Snowflake and SQL is essential. This role requires collaboration with various teams to align on data strategy and enable efficient data servicing.
AI-Enablement Data Architect – Enterprise Data Strategy employer: Bonhill Partners
Contact Detail:
Bonhill Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Enablement Data Architect – Enterprise Data Strategy
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management sector, especially those who work with data architecture. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got experience with Snowflake and SQL, make sure to highlight specific projects where you’ve used these tools. We want to see how you’ve shaped data landscapes in real-world scenarios.
✨Tip Number 3
Prepare for collaboration questions! Since this role involves working with various teams, think of examples where you’ve successfully collaborated on data strategy. We love to hear about teamwork and how you’ve aligned goals.
✨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’re always looking for passionate candidates who are ready to shape the future of data.
We think you need these skills to ace AI-Enablement Data Architect – Enterprise Data Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data governance, data modelling, and any work with Snowflake and SQL. 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 AI capabilities and how you can contribute to shaping our data landscape. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on data strategy or similar projects. We’re looking for team players who can communicate 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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Bonhill Partners
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data governance and data modelling. Be ready to discuss specific examples from your past experience where you've successfully shaped a data landscape or implemented scalable data services, especially in relation to AI capabilities.
✨Familiarise Yourself with Snowflake and SQL
Since familiarity with Snowflake and SQL is essential for this role, ensure you can speak confidently about your experience with these technologies. Consider preparing a few scenarios where you've used them to solve complex data challenges.
✨Collaboration is Key
This role involves working closely with various teams, so be prepared to discuss how you've collaborated in the past. Think of examples where you aligned on data strategy or improved data servicing through teamwork, as this will show your ability to work well in a collaborative environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and how they envision the role of the Data Architect. This not only shows your interest in the position but also gives you a chance to assess if the company aligns with your career goals.