Data Architect

Data Architect

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

  • Tasks: Lead the design of innovative data solutions for a major digital transformation.
  • Company: Join a forward-thinking IT services company with a focus on collaboration.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Why this job: Make a significant impact on the future of data architecture in a dynamic environment.
  • Qualifications: Experience with cloud data platforms and strong data governance skills required.
  • Other info: Be part of a transformative project with excellent career advancement potential.

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

Role Summary: Leads the design and implementation of enterprise data architecture, ensuring scalable, secure, and future‑ready data solutions aligned with business goals. This role plays a key part in a large‑scale digital transformation initiative spanning the next five years, supported by significant financial investment. The programme will modernise the organisation’s data estate and offers an opportunity to make a large impact within the business.

Key Responsibilities:

  • Define and maintain data architecture standards and models.
  • Design data platforms, pipelines, and integration layers.
  • Lead adoption of modern data tools and platforms (e.g., Microsoft Fabric).
  • Ensure data governance, quality, and compliance.
  • Collaborate with stakeholders to align data strategy with business needs.
  • Support analytics, BI, and AI initiatives through robust data architecture.

Skills & Experience:

  • Strong understanding of cloud‑native data platforms (Azure, AWS, GCP).
  • Proficient in data modelling, integration patterns, and governance frameworks.
  • Experience with BI tools (e.g., Power BI) and semantic modelling.
  • Knowledge of data security, compliance (e.g., GDPR), and metadata management.

Desirable: Experience with MLOps, streaming technologies, and regulated sectors.

Seniority Level: Mid‑Senior level

Employment Type: Full‑time

Job Function: Information Technology

Industries: IT Services and IT Consulting

Data Architect employer: Experis Scotland

At Experis Scotland, we pride ourselves on being an exceptional employer, particularly for our Data Architect role in the vibrant city of Glasgow. Our commitment to employee growth is evident through our extensive training programmes and the opportunity to lead transformative projects that shape the future of data architecture. With a collaborative work culture that values innovation and inclusivity, we offer a dynamic environment where your contributions can make a significant impact while enjoying the benefits of a competitive salary and a supportive team.
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Contact Detail:

Experis Scotland 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 your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving cloud-native platforms like Azure or AWS. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on key concepts like data governance and compliance. Be ready to discuss how you've tackled challenges in past roles, especially in relation to BI tools and data security.

✨Tip Number 4

Don't forget to apply through our website! We often have exclusive listings and resources that can help you stand out in your job search. Plus, it’s a great way to show your interest in joining our team!

We think you need these skills to ace Data Architect

Data Architecture
Cloud-Native Data Platforms
Data Modelling
Integration Patterns
Data Governance
Business Intelligence Tools
Semantic Modelling
Data Security
Compliance (GDPR)
Metadata Management
MLOps
Streaming Technologies
Collaboration Skills
Analytical Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience with cloud-native platforms and data governance, as these are key for us. Use specific examples that showcase your skills in designing data architectures and leading projects.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data architecture and how you can contribute to our digital transformation initiative. Be sure to mention any relevant tools or technologies you've worked with, like Microsoft Fabric or Power BI.

Showcase Your Impact: We love seeing how you've made a difference in previous roles. Include metrics or outcomes from your past projects that demonstrate your ability to deliver scalable and secure data solutions. This will help us understand the value you can bring to our team.

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at Experis Scotland

✨Know Your Data Architecture Inside Out

Make sure you’re well-versed in the latest data architecture standards and models. Brush up on cloud-native platforms like Azure, AWS, and GCP, as well as data governance frameworks. Being able to discuss these confidently will show that you’re ready to lead the design and implementation of scalable data solutions.

✨Showcase Your Technical Skills

Prepare to demonstrate your proficiency with data modelling, integration patterns, and BI tools like Power BI. Bring examples of past projects where you’ve successfully implemented data platforms or pipelines. This will help you illustrate your hands-on experience and how it aligns with the role’s requirements.

✨Align with Business Goals

Understand the company’s business objectives and be ready to discuss how your data strategy can support them. Think about how you can contribute to their digital transformation initiative and modernise their data estate. This shows that you’re not just a techie but also a strategic thinker.

✨Prepare for Stakeholder Collaboration

Expect questions about how you would collaborate with various stakeholders. Be ready to share examples of how you’ve successfully aligned data strategies with business needs in the past. Highlighting your communication skills and ability to work cross-functionally will set you apart.

Data Architect
Experis Scotland
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