Data Platform Architecture
How the platform is structured — storage zones, compute and access model — designed around your data volumes, your workloads, and how they'll grow.
Analytics, AI and reporting only work when the platform beneath them is sound. We design, build and run cloud-agnostic data platforms — the lakes, pipelines and integrations that move data reliably at national scale — and modernise legacy estates without disrupting the services running on them.
How the platform is structured — storage zones, compute and access model — designed around your data volumes, your workloads, and how they'll grow.
Modern lake and lakehouse architectures (medallion Bronze/Silver/Gold) that unify structured and unstructured data at scale.
Robust, automated pipelines that ingest from hundreds of sources, clean and reconcile, and serve every downstream team.
Shaping raw data into models teams can actually query — dimensional warehouses, curated marts and a layer where the numbers agree.
Moving from overnight batch to near-real-time processing where decisions can't wait.
Retiring legacy warehouses and databases, and consolidating fragmented data estates onto one modern platform — without disrupting the live services that depend on them.
Portable across Azure, AWS, GCP and on-premise — 20–30% cost savings through neutral, best-fit design.
We modernise around running services, passing every governance gate.
NCSC-aligned, security-cleared teams, RBAC and observability from day one.
Every strong data capability starts with the platform beneath it. Let's talk about yours.