Data layer design
Blueprint relational schemas that reflect your domain, reduce duplication, and improve query performance.
Data Architecture
Design data foundations that scale with your business.
From straightforward relational models to multi-tier data platforms, we design architectures that keep data reliable, governable, and ready for analytics.
What we deliver
Architecture, modelling, and controls tailored to your stack.
Platform architecture
Design data platforms and lake patterns with clear tiers for ingest, processing, storage, and access.
Pipelines + orchestration
Define ingestion, transformation, and validation flows so downstream teams trust data freshness and quality.
Governance + controls
Establish naming standards, security models, and change-management processes to keep data compliant.
Technology selection
Evaluate tools against scale, latency, and cost requirements; choose components that fit your operating model.
Schema documentation
Create definitions, lineage notes, and runbooks so teams can evolve the model confidently.
How we engage
Practical support for both greenfield and evolving estates.
Assess + recommend
Review current architecture, identify gaps, and provide a phased roadmap aligned to your constraints.
Co-design
Work alongside your architects to define reference designs, SLAs, and conventions before build begins.
Hands-on build
Implement schemas, pipelines, and controls with your engineering team, leaving behind documentation and training.
Let’s stabilise your data layer
We focus on reliable, governed data so product and analytics teams can move faster.