At a Glance
- Tasks: Enhance data usage and lead transformation efforts in a dynamic environment.
- Company: Leading data services company based in Edinburgh or Glasgow.
- Benefits: Hybrid work model with opportunities for professional growth.
- Why this job: Join a team that shapes the future of data architecture and analytics.
- Qualifications: Strong understanding of data design and experience with Azure Databricks.
- Other info: Mid-senior level role with a focus on best practices in data architecture.
The predicted salary is between 36000 - 60000 £ per year.
A leading data services company is seeking an Enterprise Data Architect based in Edinburgh or Glasgow. This mid-senior level role involves enhancing data usage effectiveness across the organization, establishing best practices in data architecture, and leading transformation efforts.
Candidates should possess a strong understanding of data design, experience in complex integrations, and knowledge of data technologies such as Azure Databricks and Microsoft Fabric.
This full-time position offers a hybrid work model.
Hybrid Enterprise Data Architect — AI & Analytics Leader in Edinburgh employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Enterprise Data Architect — AI & Analytics Leader in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data architecture. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data integration or architecture projects, make sure to highlight them during your discussions. We love seeing real-world applications of your skills, so don’t hold back!
✨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 want to make a difference in the data world.
We think you need these skills to ace Hybrid Enterprise Data Architect — AI & Analytics Leader in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture and technologies like Azure Databricks and Microsoft Fabric. 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 and how you can enhance our data usage effectiveness. Let us know what makes you the perfect fit for this hybrid role.
Showcase Your Leadership Skills: Since this role involves leading transformation efforts, make sure to highlight any previous leadership experiences. We love to see how you’ve driven change and established best practices in your past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at MBN Solutions
✨Know Your Data Technologies
Make sure you brush up on your knowledge of Azure Databricks and Microsoft Fabric. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Integration Experience
Prepare specific examples of complex integrations you've worked on. Highlight the strategies you employed to ensure data accuracy and efficiency, as this will demonstrate your hands-on experience and problem-solving skills.
✨Understand Best Practices
Familiarise yourself with best practices in data architecture. Be prepared to discuss how you would implement these practices in the role, and think about how you can lead transformation efforts within the company.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's data strategy and future goals. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career aspirations.