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- Tasks: Design and manage modern data infrastructure using Snowflake and AWS.
- Company: Leading data solutions provider based in Edinburgh with a supportive culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a diverse team committed to equal opportunities and career development.
- Why this job: Lead innovative AI-driven projects and shape the future of data architecture.
- Qualifications: Experience in data architecture and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading data solutions provider in the City of Edinburgh is seeking an experienced Data Architect to lead and manage modern data infrastructure with a focus on Snowflake and AWS. Ideal candidates will have strong leadership and communication skills, guiding data strategy and AI-supported solutions.
Responsibilities include:
- Designing robust architectures
- Ensuring data governance
- Leading cross-functional teams to optimize data processes
A supportive and equal opportunity employer.
Data Architect for AI-Driven Data Platform employer: Wood Mackenzie
Contact Detail:
Wood Mackenzie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect for AI-Driven Data Platform
✨Tip Number 1
Network like a pro! Reach out to professionals in the data architecture field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with Snowflake and AWS. We recommend including case studies or projects that demonstrate your ability to design robust architectures and lead teams.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and communication skills. We suggest practising common interview questions related to data governance and AI-supported solutions, so you can confidently showcase your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. It’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Architect for AI-Driven Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture, especially with Snowflake and AWS. We want to see how your skills align with the job description, 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 solutions and how your leadership skills can benefit our team. Let us know what excites you about this role!
Showcase Your Communication Skills: As a Data Architect, strong communication is key. In your application, highlight instances where you've successfully led teams or communicated complex ideas. We love seeing how you can bridge the gap between tech and non-tech folks!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Wood Mackenzie
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake and AWS. Brush up on the latest features and best practices, as you might be asked to discuss how you would leverage these tools in your data architecture designs.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led cross-functional teams in the past. Highlight your communication strategies and how you’ve guided data strategy or AI-supported solutions to demonstrate your leadership capabilities.
✨Understand Data Governance
Familiarise yourself with data governance principles and be ready to discuss how you would ensure compliance and security in your data architecture. This shows that you take data integrity seriously, which is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data challenges and future goals. This not only shows your interest but also gives you a chance to demonstrate your strategic thinking and understanding of the industry.