Enterprise Data Architect in Edinburgh

Enterprise Data Architect in Edinburgh

Edinburgh Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Shape a new international data ecosystem and create enterprise-wide data architecture.
  • Company: Join an innovative international organisation with a focus on data-driven decision making.
  • Benefits: Competitive salary, 20% bonus, hybrid work model, and opportunities for professional growth.
  • Other info: Dynamic role with excellent career advancement opportunities in a global setting.
  • Why this job: Make a real impact by driving data-led strategies across multiple businesses.
  • Qualifications: Experience in data architecture and strong collaboration skills with tech teams.

The predicted salary is between 70000 - 90000 £ per year.

AI Connect are partnering with an international organisation to help them hire an Enterprise Data Architect. You’ll play a key role in shaping a new international data ecosystem as multiple businesses align under a shared group-wide data strategy. This role will focus on creating the enterprise-wide data architecture that sits across the organisation ensuring data flows, structures, and definitions are aligned to enable reporting, analytics, and insight across all business areas. The goal is to create a strong data foundation that supports better, data-led decision making across the group.

What You’ll Do

  • Develop and maintain the enterprise-wide conceptual and logical data architecture, ensuring consistency across systems, domains, and international markets.
  • Design and improve data flows, integrations, and data models that support operational, analytical, and regulatory requirements.
  • Work closely with enterprise architects, technology teams, and business stakeholders to embed strong data architecture principles into transformation initiatives.
  • Help create a connected data ecosystem where trusted, high-quality data is accessible across the organisation rather than reliant on a single central function.
  • Drive standardisation, reuse, and alignment of data definitions and structures across markets and business areas.
  • Support governance, privacy, quality, and compliance initiatives by ensuring data architecture aligns with organisational standards and frameworks.

Key Skills

Enterprise Data Architect in Edinburgh employer: AI Connect | Data & AI Delivery Partner

As an Enterprise Data Architect at our international organisation in Edinburgh, you'll be part of a dynamic team that values innovation and collaboration. We offer a hybrid work model, competitive salary, and a generous bonus structure, alongside opportunities for professional growth and development within a supportive work culture. Join us to shape a cutting-edge data ecosystem that empowers data-led decision making across diverse business areas.

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Contact Details:

AI Connect | Data & AI Delivery Partner Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise Data Architect in Edinburgh

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for those interviews! Research the company and its data strategy thoroughly. We want you to be able to discuss how your skills align with their goals, especially around creating a strong data foundation.

Tip Number 3

Showcase your projects! Bring examples of your previous work that demonstrate your ability to design data flows and improve data architecture. We love seeing real-world applications of your skills!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you every step of the way in your job search journey.

We think you need these skills to ace Enterprise Data Architect in Edinburgh

Enterprise Data Architecture
Data Modelling
Data Integration
Data Governance
Data Quality Management
Analytical Skills
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Enterprise Data Architect role. Highlight your experience with data architecture, integrations, and any relevant projects that showcase your skills in creating data ecosystems.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background aligns with the company's goals. Be specific about how you can contribute to their data strategy.

Showcase Relevant Skills:Don’t forget to highlight key skills mentioned in the job description, like data flows, governance, and compliance. We want to see how your expertise can help shape their international data ecosystem.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at AI Connect | Data & AI Delivery Partner

Know Your Data Architecture Inside Out

Make sure you’re well-versed in the principles of enterprise data architecture. Brush up on your knowledge of data flows, integrations, and models that support operational and analytical needs. Being able to discuss specific examples from your past experience will show that you can hit the ground running.

Understand the Business Context

Familiarise yourself with the organisation's industry and how they use data to drive decision-making. This will help you tailor your answers to demonstrate how your skills can directly benefit their data strategy. Show them you’re not just a techie but someone who understands the bigger picture.

Prepare for Collaboration Questions

Since this role involves working closely with various teams, be ready to discuss your experience in cross-functional collaboration. Think of examples where you’ve successfully embedded data architecture principles into projects and how you’ve navigated challenges with stakeholders.

Showcase Your Governance Knowledge

Data governance is key in this role, so be prepared to talk about how you’ve ensured compliance and quality in your previous positions. Highlight any frameworks or standards you’ve worked with and how you’ve driven standardisation across different markets or business areas.