Data Architect

Data Architect

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement data architecture to enhance data accessibility and trust.
  • Company: Global organisation in Glasgow focused on innovative data solutions.
  • Benefits: Competitive salary, modern tech environment, and opportunities for professional growth.
  • Why this job: Join a forward-thinking team and shape the future of data management.
  • Qualifications: Experience in data architecture and a passion for analytics and AI.
  • Other info: Be part of a dynamic team driving impactful data initiatives.

The predicted salary is between 36000 - 60000 Β£ per year.

Data Architect required to help a global organisation in Glasgow get more value from its data. This role is about creating clarity, consistency, and reusable patterns across a complex data landscape making data easier to trust, access, and scale across the enterprise.

The organisation is investing in modern data platforms, analytics, and AI, and now needs strong enterprise data architecture.

Data Architect employer: Cathcart Technology

Join a forward-thinking global organisation in Glasgow that prioritises innovation and employee development. As a Data Architect, you'll be part of a collaborative work culture that values clarity and consistency in data management, while benefiting from extensive growth opportunities and cutting-edge technology investments. With a focus on modern data platforms and AI, this role offers a unique chance to make a significant impact in a dynamic environment.
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Contact Detail:

Cathcart Technology Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Architect

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. The more connections we make, the better our chances of landing that Data Architect role.

✨Tip Number 2

Showcase your skills! Create a portfolio that highlights your experience with data architecture, analytics, and AI. We want to demonstrate how we can add value to the organisation's modern data platforms.

✨Tip Number 3

Prepare for interviews by brushing up on common questions related to data architecture. We should be ready to discuss how we can create clarity and consistency in complex data landscapes.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team and contributing to their data journey.

We think you need these skills to ace Data Architect

Data Architecture
Data Modelling
Data Integration
Enterprise Data Management
Cloud Data Solutions
Data Governance
Analytics
AI Implementation
Scalability Solutions
Data Quality Assurance
Technical Documentation
Collaboration Skills
Problem-Solving Skills
Communication Skills

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with data architecture and any relevant projects you've worked on. We want to see how you've created clarity and consistency in previous roles, so don’t hold back!

Showcase Your Skills: In your application, emphasise your technical skills related to modern data platforms and analytics. We’re looking for someone who can make data easier to trust and access, so let us know how you’ve done this before.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, just like the role requires! Avoid jargon unless it’s necessary, and make sure your points are easy to understand.

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 the role. Plus, it’s super easy!

How to prepare for a job interview at Cathcart Technology

✨Know Your Data Inside Out

As a Data Architect, you’ll need to demonstrate a deep understanding of data structures and architectures. Brush up on your knowledge of modern data platforms and analytics tools that the organisation is investing in. Be ready to discuss how you've used these technologies in past projects.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex data challenges in previous roles. Think about situations where you created clarity and consistency in data management. This will show your potential employer that you can bring real value to their data landscape.

✨Understand Their Business Needs

Research the organisation and its industry to understand their data needs and challenges. Tailor your responses to show how your skills can help them achieve their goals, especially in terms of making data easier to trust and access across the enterprise.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about their current data architecture and future plans. This not only shows your interest in the role but also helps you gauge if the company aligns with your career aspirations.

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