At a Glance
- Tasks: Design and deliver modern data platforms using Azure, focusing on Lakehouse solutions.
- Company: Leading tech firm with a focus on innovative data strategies.
- Benefits: Competitive salary up to £125,000, hybrid working, and bonus opportunities.
- Other info: Exciting opportunity for career growth with client engagement and consulting.
- Why this job: Shape data strategies and make a real impact in advanced analytics and AI/ML.
- Qualifications: 5+ years in Data Architecture, hands-on skills in Python, Scala, SQL, and Azure.
The predicted salary is between 125000 - 125000 £ per year.
We’re looking for an experienced Data Architect to design and deliver modern, scalable data platforms built on full Azure stack including Fabric. You’ll lead the architecture of Lakehouse solutions supporting advanced analytics, AI/ML, and business intelligence, working closely with clients to shape data strategies and deliver real business value. This is a UK‑based role (Edinburgh, Manchester, or London) with hybrid working and occasional client site visits.
Key Details:
- Salary: Up to £125,000 per annum + bonus
- Start Date: ASAP (our client can work around notice periods of up to 3 months)
- Employment type: Permanent
What you’ll do:
- Demonstrate deep expertise in enterprise-level data analytics solutions end-to-end, with a focus on Lakehouse Architecture and ML/AI-driven analytics.
- Design scalable data models and pipelines using Spark, Delta Lake, and PySpark.
- Lead client engagements, shaping data strategies and best‑practice architectures.
- Win business through presenting solutions and advising potential clients.
- Optimise Databricks performance, security, and cost efficiency.
- Implement governance, CI/CD, and cloud best practices.
What you’ll bring:
- At least 5 years experience in Data Architecture.
- Fabric experience.
- End to end pre-sales experience.
- Hands‑on data engineering skills (Python, Scala, SQL).
- Experience with Azure.
- Experience with Databricks.
- Solid understanding of data modelling (Kimball, 3NF, Data Vault).
- Excellent stakeholder communication and consulting skills.
Interviews are taking place next week, so if you're interested, please apply today and we’ll be in touch shortly. Alternatively, feel free to reach out to Josh Wolstenholme directly on LinkedIn for a confidential conversation.
Data Architect (Azure/Fabric) employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Architect will directly impact client success. With hybrid working options and locations in vibrant cities like Edinburgh, Manchester, and London, you'll enjoy a supportive environment that fosters professional growth and provides opportunities to lead cutting-edge projects in data architecture. Our commitment to employee development and a competitive salary package, including bonuses, makes us an exceptional employer for those seeking meaningful and rewarding careers.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (Azure/Fabric)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture space, especially those who work with Azure and Fabric. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with Lakehouse solutions and ML/AI-driven analytics. This will help you stand out during interviews and client engagements.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to data architecture and Azure. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, if you have any questions, feel free to reach out to Josh Wolstenholme on LinkedIn for a chat!
We think you need these skills to ace Data Architect (Azure/Fabric)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure and Fabric, as well as your hands-on data engineering skills. We want to see how your background aligns with the role of Data Architect, so don’t hold back on 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 architecture and how you can bring value to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Client Engagement Skills:Since this role involves leading client engagements, make sure to highlight any relevant experience in your application. We’re looking for someone who can shape data strategies and communicate effectively, so share examples of how you've done this in the past.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Azure Stack Inside Out
Make sure you brush up on your knowledge of the full Azure stack, especially Fabric. Be ready to discuss how you've used these technologies in past projects and how they can be applied to create scalable data platforms.
✨Showcase Your Lakehouse Expertise
Prepare to talk about your experience with Lakehouse architecture. Have specific examples ready that demonstrate your ability to design and implement solutions that support advanced analytics and AI/ML.
✨Engage with Stakeholders
Since this role involves leading client engagements, practice how you'll communicate complex data strategies clearly. Think of ways to explain technical concepts in a way that resonates with non-technical stakeholders.
✨Demonstrate Your Pre-Sales Savvy
Be prepared to discuss your end-to-end pre-sales experience. Highlight any successful pitches or presentations you've made, and how you’ve advised clients on best practices in data architecture.
