Data Architecture & Design
Effective data architectures that set you up for success now and for what comes next.
We help organisations define pragmatic data architectures, standards and reference patterns that support better decision-making, smoother delivery and future growth. Drawing on deep experience designing pragmatic solutions to complex technology challenges, we help you make clearer architectural choices with confidence. Whether you are modernising fragmented estates, improving data access across teams, or laying the foundations for AI, we bring both strategic perspective and practical delivery expertise.
Also in this section
Achieve your goals with us
As demand grows for real-time insight, better interoperability and more reliable foundations for AI, we help you identify the data architecture decisions that matter most. Scott Logic has extensive experience working on complex, high-performance systems where data quality, timeliness and resilience are critical. We shape a path forward that supports your immediate needs without creating avoidable future constraints.
We understand the complex realities of enterprise data landscapes, from siloed systems and legacy constraints to the need for secure, dependable data flows across operational, analytical and AI use cases. Because we combine architecture, engineering and delivery expertise, our designs are grounded in what it really takes to implement and evolve them successfully in practice.
Principles of our successful approach
Define architecture, standards and reference patterns
We help you establish a clear architectural direction for your data landscape, including principles, standards and reusable patterns that make delivery more consistent and reduce long-term complexity.
Design integration and data flow
We design efficient integration, event and streaming approaches that help connect siloed systems across operational, analytical and AI use cases, improving reliability while reducing duplication and fragility.
Shape AI-ready data models and products
We help you design data models and products with the quality, context, metadata and access patterns needed to support trusted analytics, retrieval-augmented generation, and emerging agentic workflows.
You come away with a clearer architectural direction, better-aligned standards and patterns, and a stronger foundation for reliable data access across your organisation. Depending on your needs, that might mean simpler integration, more dependable data flows, reduced delivery risk, or better readiness for advanced analytics and AI. Throughout, we focus on creating architectures that are not only well-designed, but also proven to work in the context of real organisational complexity.
Client stories
Discover how we’ve helped clients with their data architecture.
Trade surveillance architecture
We helped one of the world’s biggest natural resource companies establish their Synapse and Tableau data architecture, enabling analysts to progress with their work and present trade surveillance summaries to stakeholders.
Modern event architecture
When a large UK government department needed to move away from a legacy system, we helped them design and prototype an event‑based architecture, enabling systems across the department to publish and consume data in a consistent way.
Want to talk about your data?
If you’d like to discuss how our data specialists can support you in achieving your goals, we’re always happy to chat.