Robert Half
Microsoft Fabric Data Architect

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Microsoft Fabric Data Architect
Robert Half is supporting a client in the search for an experienced Microsoft Fabric Data Architect to join a growing Data & AI function delivering enterprise-scale transformation programmes. This is a highly client-facing consulting role suited to individuals with a strong consulting background who can combine deep technical expertise with stakeholder management, solution architecture, and strategic advisory. You will act as a trusted advisor, helping organisations shape enterprise data strategies, modernise data platforms, and build scalable foundations for AI, analytics, and business intelligence.
Assignment Details
- Initial 6-month contract with strong likelihood of extension
- Location: London / Hybrid (1-2 days per week in the City)
- Daily Rate: £700-750 per day via umbrella
- ASAP start with fast-track onboarding
Key Responsibilities
- Lead client-facing Microsoft Fabric architecture engagements from discovery through to delivery
- Define enterprise data platform strategies and architecture roadmaps aligned to business and AI objectives
- Design and implement modern data platform architectures using Microsoft Fabric
- Drive data modelling, integration, and governance standards
- Provide technical leadership across data engineering, analytics, and reporting teams
- Act as a trusted advisor to senior stakeholders, supporting workshops and solution design
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Experience
- Strong consulting background within a recognised consulting firm
- Proven experience designing and delivering Microsoft Fabric solutions at enterprise scale
- Experience implementing Lakehouse and Medallion Architecture (Bronze, Silver, and Gold layers)
- Strong understanding of data engineering, data modelling, and platform architecture
- Proven experience delivering enterprise data architecture in complex environments
- Strong stakeholder management and client-facing advisory experience
- Experience bridging business strategy and technical delivery


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Technical Experience
- Microsoft Fabric
- Fabric Lakehouse
- Medallion Architecture
- Azure Data Platform
- Data Engineering and ETL/ELT
- Data Modelling
- Power BI
- Azure Data Factory
- Data Governance and Integration
Nice to Have
- Databricks experience
- Exposure to AI / GenAI use cases
- Experience working across Azure data ecosystems
- Relevant cloud or data certifications
- Consulting experience within Financial Services, Energy, Retail, or similar sectors
This opportunity would suit an experienced Microsoft Fabric consultant or Data Architect who combines strong technical capability with consulting and stakeholder management experience, and is comfortable leading enterprise data transformation initiatives from strategy through delivery.
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