Data platforms, engineered end to end.
We design, build, and optimise production data platforms across enterprise and open-source stacks — from architecture through pipelines, AI, and analytics. The stack is chosen to fit your scale, your team, and the way your data moves.
What we deliver
Hands-on data engineering — from platform builds to performance optimization.
Data Platform Engineering
The full data platform, end to end — architecture, pipelines, governance, and the engineering practices that keep it running reliably in production.
AI & Analytics
AI and analytics built on a data foundation that's ready for them. We engineer the data layer first, then deliver the models, applications, and dashboards on top.
Platform Optimization & Advisory
Focused engagements to make your existing platform faster, leaner, and easier to maintain — with measurable improvements across compute, storage, and query patterns.
Engineering at the core
DatomIQ was founded by data engineers, and engineering is what we lead with on every engagement. The senior engineer who scopes your platform is the one who designs the architecture and writes the code — backed by years of building and operating data systems in production.
That depth shows up in every architectural decision, every pipeline, and every handover.
A simple yet powerful process
Four clear phases from assessment to optimization.
Assess
Review your platform and pipelines for architecture, cost, performance, and reliability. Identify the biggest opportunities quickly.
Design
Define a target architecture and delivery plan: minimal, scalable, and aligned to business outcomes.
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Deliver
Implement pipelines and platform components with CI/CD, orchestration, and quality gates.
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Optimize
Tune performance and costs over time: workload profiling, cluster sizing, file layout, and incremental patterns. Documentation and runbooks ship with the handover.
Why teams work with us
What sets us apart from traditional consultancies and system integrators.
Engineer-led
The senior engineer who scopes your engagement designs the architecture and writes the code.
Right-sized
Architecture matched to your data volume, team size, and budget — built to scale when the business needs it to.
Stack-fit
We work fluently across enterprise stacks on Azure & Databricks and modern open stacks. The choice is shaped by your context.
Built for handover
Documentation, tests, and runbooks ship alongside the code, so your team owns and extends the platform from day one.
