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- Tasks: Lead data architecture on client projects and translate business needs into technical solutions.
- Company: Dynamic tech solutions provider based in Edinburgh.
- Benefits: Flexible working arrangements and a comprehensive benefits package.
- Why this job: Shape the future of data analytics and make a real impact in AI solutions.
- Qualifications: Hands-on experience with data solutions and business intelligence tools.
- Other info: Join a forward-thinking team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A technology solutions provider in Edinburgh is seeking a Data Architect to lead architecture on client engagements. You will translate business requirements into technical solutions, with a strong focus on data architecture and analytics. Ideal candidates have hands-on experience with data solutions and business intelligence tools. The role offers flexible working arrangements and a comprehensive benefits package.
Remote Data Architect — AI Analytics & Cloud DW employer: Version 1
Contact Detail:
Version 1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Architect — AI Analytics & Cloud DW
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data architecture or analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects and experiences related to data solutions and business intelligence tools. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Think about how you would translate business requirements into technical solutions. Practising these responses will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Data Architect — AI Analytics & Cloud DW
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data architecture and analytics. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or tools you've used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Architect role. We love seeing enthusiasm and a clear understanding of how you can contribute to our team.
Showcase Your Technical Skills: Since this role focuses on translating business requirements into technical solutions, make sure to highlight your hands-on experience with data solutions and business intelligence tools. We want to know what you can bring to the table!
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 during the process!
How to prepare for a job interview at Version 1
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data architecture trends and tools. Brush up on your experience with business intelligence tools and be ready to discuss specific projects where you’ve successfully translated business requirements into technical solutions.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you had to innovate or adapt your approach to meet client needs, as this will demonstrate your ability to lead architecture on client engagements.
✨Understand the Company’s Vision
Research the technology solutions provider and understand their mission and values. Tailor your responses to show how your skills and experiences align with their goals, especially in AI analytics and cloud data warehousing.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or future plans for data architecture. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
