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- Tasks: Lead the design and implementation of Azure/Fabric solutions and data lakehouse integration.
- Company: Join a large services business embarking on an exciting data transformation journey.
- Benefits: Enjoy remote work flexibility and a competitive salary of £85k-95k.
- Why this job: Be part of a groundbreaking project that shapes the future of data architecture.
- Qualifications: Strong experience with the Azure stack and a desire to step into a strategic role.
- Other info: This position does not offer visa sponsorship.
The predicted salary is between 68000 - 102000 £ per year.
La Fosse have partnered with a large services business, kicking off a massive programme of work including a full Azure/Fabric build-out, alongside a completely greenfield data lakehouse integration and on-prem to cloud migration.
They’re now looking for a senior-level Data Engineer looking to take the next step forward into a fully fledged Data Architect position, to help drive this vision forward over the next couple of years and beyond.
This is an ideal role for someone with strong foundations across the Azure stack, wanting to be more strategic and lead the way whilst still looking to get stuck into the technical detail.
Please apply for more details. No visa sponsorship is on offer unfortunately.
Data Architect employer: La Fosse
Contact Detail:
La Fosse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the Azure stack and Fabric technologies. Since this role focuses on a full Azure/Fabric build-out, having hands-on experience or relevant projects in these areas will demonstrate your capability to lead and execute the technical aspects of the job.
✨Tip Number 2
Showcase your strategic thinking skills. As the role requires someone to be more strategic, prepare examples from your past experiences where you’ve successfully led projects or initiatives that required a forward-thinking approach.
✨Tip Number 3
Network with professionals in the data architecture field. Engaging with others who are already in similar roles can provide insights into the industry and may even lead to referrals or recommendations for the position.
✨Tip Number 4
Stay updated on the latest trends in data engineering and architecture. Being knowledgeable about current technologies and methodologies will not only help you in interviews but also show your commitment to continuous learning in this rapidly evolving field.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Architect, especially in relation to Azure and Fabric. Familiarise yourself with the key skills required for this position, such as cloud migration and data lakehouse integration.
Tailor Your CV: Highlight your experience with the Azure stack and any relevant projects you've worked on. Make sure to emphasise your technical skills as well as your strategic thinking abilities, as the role requires both.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're interested in transitioning from a Data Engineer to a Data Architect. Discuss your vision for the role and how your background makes you a perfect fit for driving the company's data strategy forward.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a role that involves complex data architecture.
How to prepare for a job interview at La Fosse
✨Showcase Your Azure Expertise
Make sure to highlight your experience with the Azure stack during the interview. Be prepared to discuss specific projects where you've implemented Azure solutions, as this will demonstrate your technical proficiency and understanding of the platform.
✨Discuss Data Lakehouse Integration
Since the role involves a greenfield data lakehouse integration, be ready to explain your knowledge of data lakehouses and how they differ from traditional data warehouses. Share any relevant experiences or insights you have on integrating these systems.
✨Emphasise Strategic Thinking
As this position requires a shift towards a more strategic role, be sure to articulate your vision for data architecture. Discuss how you can lead initiatives and drive the company's data strategy forward while still being hands-on with technical details.
✨Prepare for Migration Scenarios
Given the focus on on-prem to cloud migration, prepare to discuss your experience with migration projects. Highlight any challenges you've faced and how you overcame them, as well as the tools and methodologies you used during the process.
