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- Tasks: Lead the design of a cutting-edge Microsoft Fabric platform from scratch.
- Company: Join a high-profile organisation on an exciting greenfield initiative.
- Benefits: Remote work, competitive day rate, and potential for contract extension.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Experience in Microsoft Fabric solutions and data architecture.
- Other info: Opportunity to work with innovative technologies and frameworks.
The predicted salary is between 54000 - 84000 £ per year.
We are supporting a high-profile organisation on a greenfield Microsoft Fabric initiative and are looking for an experienced Fabric Architect to lead the end-to-end platform design. This is a unique opportunity to shape the architecture, governance, and delivery of a brand-new Fabric data platform from the ground up.
If you have delivered Microsoft Fabric solutions at an architectural level, defining Lakehouse structures, medallion models, and analytics-ready datasets, this opportunity is for you.
Location: Remote (UK)
Day Rate: Negotiable
Contract: Short-term engagement with potential for extension
Key Responsibilities / Experience Required:
- Designing a greenfield Microsoft Fabric platform, including Lakehouse, Bronze, Silver and Gold layers, and reporting structures
- Defining data ingestion and transformation architecture across multiple sources such as CRM, CMS, SaaS platforms, and GA4
- Designing Fabric Data Factory pipelines and Spark notebooks for scalable ETL/ELT
- Establishing data modelling standards for Silver and Gold (Medallion) layers
- Preparing Power BI-ready datasets with clear fact and dimension schemas
- Providing technical governance guidance, ensuring scalability, maintainability and PII compliance
- Advising on best practices for Fabric, Synapse and Databricks integration
Strongly Preferred:
- Experience in Azure data services, including ADF, ADLS and Azure SQL
- Proven experience integrating web analytics, CRM and CMS data at a platform level
- Familiarity with data governance frameworks and enterprise data architecture principles
Nice to Have:
- Experience with dbt (Core or Cloud)
- Exposure to modern lakehouse ecosystems such as Databricks or Snowflake
- Background in nonprofit or charity analytics (optional)
If you have architected Microsoft Fabric solutions from scratch and can define clean, scalable, enterprise-grade platforms, we would love to hear from you.
Please reply with your most up-to-date CV.
Microsoft Fabric Architect - SME in Brighton employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Fabric Architect - SME in Brighton
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Microsoft Fabric Architect role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your previous Microsoft Fabric projects. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses, especially around technical governance and data architecture. The more comfortable you are, the better you'll perform.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to submit your application. Plus, it shows us you’re genuinely interested in joining our team and working on exciting projects like the Microsoft Fabric initiative.
We think you need these skills to ace Microsoft Fabric Architect - SME in Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric and related technologies. We want to see how you've designed platforms like Lakehouse and worked with data ingestion and transformation. Customising your CV for this role will help us see you as a perfect fit!
Showcase Relevant Projects: Include specific examples of projects where you've led the architecture of data platforms. We love seeing real-world applications of your skills, especially if they involve Azure data services or integrating various data sources. This helps us understand your hands-on experience.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and bullet points to make it easy for us to read. Highlight your achievements and responsibilities without fluff – we appreciate brevity and focus.
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’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at iO Associates
✨Know Your Fabric Inside Out
Make sure you’re well-versed in Microsoft Fabric, especially the Lakehouse structures and medallion models. Brush up on your knowledge of data ingestion and transformation architecture, as you'll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Technical Governance Skills
Be prepared to talk about how you've ensured scalability, maintainability, and PII compliance in your previous roles. Bring examples of how you’ve established data modelling standards and provided technical governance guidance in your past projects.
✨Demonstrate Your Integration Experience
Highlight your experience with Azure data services and how you’ve integrated various data sources like CRM and CMS platforms. Be ready to discuss specific challenges you faced and how you overcame them, particularly in relation to Fabric, Synapse, and Databricks.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions where you’ll need to outline your approach to designing a greenfield Microsoft Fabric platform. Think through potential challenges and solutions beforehand, so you can articulate your thought process clearly during the interview.