Data Architecture
Modern data architecture delivers - if you get the basics right.
Modern data architecture unlocks scalability, elasticity and speed – helping you migrate, modernise and maximise value from your data.
But behind the scenes, IT leaders know the truth: speed without strategy risks security gaps, regulatory exposure, spiralling costs and tech debt. Whether moving fully to cloud services or integrating with existing systems, we design and deliver the right-fit architecture to scale with confidence – giving you the foundations to keep pace without compromise.
What we offer in data architecture
Fueling AI, automation, and innovation.
Modern Data Architecture is critical to unlocking automation, enabling AI, and powering innovation.
It shortens time to insight, reduces risk across your data estate, and improves customer and employee experience.
With modular, componentised structures, it supports faster decision-making, self-service, and the scalability needed for modern data products.
Your Questions, Answered.
Which are the best platforms?
It depends on your use cases. We’ll help you assess what’s fit-for-purpose specifically for your business now and scalable later.
How fast can a modern data platform be delivered?
Our modern data platform frameworks deliver secure, governed platforms in days, not months. Prototypes and MVPs are even faster.
What’s the difference between data architecture and data migration?
Data architecture is the blueprint for how your data is structured, governed and scaled. It defines the foundations for your future data platform. Data migration is the process of moving your data from legacy systems into that new environment. At Dufrain, we design and deliver both ensuring your data is ready for what’s next.
Our Data Foundations Experts

Lalith Korae

Tim Bowes

Mahathevan Suthakaran

Jonathon Moore

Mike Haresnape

Oliver Saywell

Junaid Sharif
All set to make your data AI-ready?
In one conversation, we’ll explore your challenges, share ideas, and leave you with clear next steps – questions to spark internal discussions and practical ways to progress your data and AI journey with confidence.
Let’s talk

Victoria Whittaker
Head of Business Development



