Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Microsoft Fabric Architect

Dufrain
Edinburgh
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Science Lead - Health AI

We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing real-time reporting, and managing data from mergers and acquisitions.

At Dufrain we prides ourselves on a creative and innovative approach, focusing on delivering exceptional outcomes for clients by leveraging data to drive growth and efficiency.

Our mission is to inspire, shape and deliver the data capabilities of tomorrow.

Our Architects provide expertise, guidance, and strategic advice to clients to help them effectively develop their data assets for making informed decisions and achieving their business objectives. They play a pivotal role in helping clients navigate the complexities of data architecture and strategy. Providing early engagement with clients to develop and understand business needs and proposing suitable architectural solutions. 

ROLE DETAILS OF OUR ARCHITECTS

  • Demonstrate credible ability and a good knowledge of delivering enterprise-level data analytics solutions end-to-end. Apply domain knowledge to recommend best practise and innovative architectures.
  • Develop good working relationships with clients on a project. This includes presenting deliverables and proof of concept demonstrations with confidence.
  • Inform a client's data strategy, encourage adoption of best practices. Our architects must have the ability to challenge clients and colleagues around delivery approach or content of deliverables.
  • Gather requirements from stakeholders with a range of technical backgrounds.
  • Have accountability for the delivery of solutions that delight our clients.
  • Able to deliver to agreed plans and timescales.
  • Work within the Architecture Practise to develop standard architecture patterns and resources.

RESPONSIBILITIES

  • Implementing industry-standard Fabric solutions including both Fabric Lakehouse and Warehouse solutions.
  • Presenting and explaining architectural decisions to different level stakeholders.
  • Support clients across a range of sectors.
  • Debugging and optimization of existing solutions.
  • Resource consumption and cost optimization.
  • Develop understanding of governing enterprise-level data environments.
  • Testing and documentation.

EXPERIENCE

  • Several years of experience in data analytics, consulting, or a related field. 
  • Proficient with data modelling 3NF/Kimball.
  • Excellent understanding and experience of implementing Modern Data Warehouse architectures.
  • Experience with back-end Azure Data Engineer technologies like ADF, Azure SQL Database and Synapse.
  • Proficient in designing, implementing, and maintaining solutions using Microsoft Fabric.
  • Python data engineering experience.
  • Strong understanding of SQL and NoSQL databases, SQL, CosmosDB and Kusto Query Language (KQL).
  • Solid experience of data pipeline development using both cloud and on-premises data sources.
  • Excellent problem-solving, analytical, and communication skills.
  • Strong desire to learn and adapt to new technologies

Microsoft Certifications:

  • Fabric Analytics Engineer Associate or equivalent certification.
  • DP-203 Azure Data Engineering 
  • AZ-305 Azure Solutions Architect are as nice to have

Desirable experience:

  • Consulting experience.
  • Data governance principles including Microsoft Purview
  • Azure Infrastructure and Networking experience
  • Databricks experience.
  • Machine Learning and AI
  • DevOps experience
  • Power BI semantic modelling

Apply:

Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available. 


Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.