At a Glance
- Tasks: Design and deliver modern data platforms using Azure, focusing on Lakehouse solutions.
- Company: Join a leading tech firm with a focus on innovation and client success.
- Benefits: Competitive salary up to £125,000, hybrid working, and bonus opportunities.
- Other info: Exciting role with excellent career growth and the chance to work with top clients.
- 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
- 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.
- 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) in England 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 a focus on employee growth, you'll have access to continuous learning opportunities and the chance to work with cutting-edge technologies in vibrant cities like Edinburgh, Manchester, or London. Enjoy competitive compensation and a supportive environment that encourages you to thrive both professionally and personally.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (Azure/Fabric) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure and data architecture. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Lakehouse solutions or AI/ML analytics. 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 your technical knowledge and soft skills. Be ready to discuss your experience with Databricks and Azure, and how you've shaped data strategies in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Data Architect (Azure/Fabric) in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure, Fabric, and any relevant data modelling techniques. We want to see how your skills align with what we're looking for!
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. Don't forget to mention your hands-on experience with tools like Databricks and Spark.
Showcase Your Projects:If you've worked on any impressive data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your expertise in Lakehouse solutions and AI/ML.
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. Plus, we’re excited to hear from you!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Fabric and Lakehouse architecture. Be ready to discuss how you've used these technologies in past projects and how they can be applied to solve real business problems.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with different data modelling techniques like Kimball and Data Vault. Have examples ready that demonstrate how you've designed scalable data models and pipelines, particularly using Spark and Delta Lake.
✨Engage with Stakeholders
Since this role involves client engagement, practice how you'll communicate complex data strategies to non-technical stakeholders. Think of ways to simplify your explanations and make them relatable to their business needs.
✨Demonstrate Your Pre-Sales Experience
Be ready 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 to win their business.
