Production Fabric platform, in six weeks.
Lakehouse, medallion architecture, metadata-driven framework, and a governed serving layer for AI, dashboards, APIs, real-time and batch — fixed-fee, fixed-timeline, and fully yours at handover.
What's expensive.
Building a production Fabric platform from scratch eats four-to-six months of senior engineering time. Hand-rolled pipelines, ad-hoc schemas, no clear medallion contract, governance bolted on at the end. Your roadmap stalls. Your team burns out. The platform you ship is the platform you're stuck with.
What we bring.
A battle-tested Fabric framework — workspace patterns, medallion contracts, a metadata-driven config layer, DQ scaffolding, and a governed serving surface. Tuned over multiple Australian builds. Deployed on your tenant. Yours to extend the day after we leave.
Six pieces, one working platform.
Each line below is a contractual deliverable — not aspiration. Scoped in week one, signed off at handover.
Fabric workspace + tenant
Configured Microsoft Fabric workspace, capacity sizing, identity, and access controls. Ready to receive your first ingest on day one.
Lakehouse + warehouse
OneLake-backed lakehouse with a serving warehouse layer. Delta-native, compute-elastic, and tuned for analytical and AI workloads side by side.
Medallion architecture
Bronze, silver, and gold zones with promotion gates between them. Reproducible loads, full lineage, and clear ownership at every layer.
Metadata-driven framework
Pipelines, schemas, schedules, and DQ rules expressed as configuration — not hand-coded notebooks. Add a new source by editing a row, not a job.
Quality + transformation
Cleansing, deduplication, conformance, and DQ checks at each medallion gate. Fail loudly in bronze, never silently in gold.
Serving layer
AI endpoints, Power BI semantic models, REST APIs, and real-time + batch outputs — modelled once, surfaced everywhere your business needs them.
From source to serving, governed throughout.
Sources flow through bronze, silver, and gold zones into your serving layer — AI, dashboards, API, real-time and batch — all metadata-driven and governed end-to-end.
Modern data platform — Azure architecture
Reference architecture · Fabric-specific medallion view in development
Six weeks. Four phases.
Weekly demos throughout. No twelve-week silence followed by a reveal.
Discover & design
Source inventory, target architecture, success metrics, and team alignment workshops. Signed-off design before any code.
Foundation
Workspace, capacity, lakehouse, medallion frame, and the metadata-driven config layer all in place. First bronze loads land.
Pipelines + serving
Silver and gold transformations, data-quality gates, semantic models, and API + dashboard surfaces wired to real data.
Ship + enable
Production cutover, runbooks, documentation, and hands-on training for your team. We hand over the keys before we leave.
Built for you if…
- 01
You're modernising a legacy SQL Server, SSAS, or on-prem warehouse and want to land on Microsoft Fabric without a 9-month rebuild.
- 02
You need a governed lakehouse with AI-ready data — and you'd rather not invent the medallion framework from scratch.
- 03
You want to ship a production data platform on a fixed timeline, not an open-ended consulting engagement.
- 04
You'll have an in-house team take over once it's live, and you need them trained on the framework, not just the output.
- 05
You require Australian-hosted, sovereign-friendly infrastructure with full IP ownership on day one.
At handover, you own everything.
Production Fabric platform
Running on your tenant, governed, audited, and connected to real source systems.
Full IP + source ownership
Pipelines, configs, semantic models, runbooks — every artefact yours to extend.
Trained in-house team
Documented patterns and walkthrough sessions so your engineers own the next change.
Optional managed support
Continue with us for SLAs, monitoring, and roadmap execution — or run it yourselves.
Frequently asked.
The full six-week build of a production Fabric platform — workspace, lakehouse, medallion architecture, metadata-driven framework, DQ pipelines, and the serving layer. Scope is agreed in week one and locked. Anything outside the agreed scope is a separate change order.
We scope two complimentary discovery sessions before pricing. If your environment needs more than the standard package — exotic source systems, very high throughput, regulatory specifics — we either extend the engagement or split it into a foundation build plus a follow-on phase.
Yes. Source code, configs, schemas, pipelines, semantic models, and documentation are all transferred to your tenant and your repos. There is no Domato-hosted layer, no licensing trap, and no vendor lock-in.
That is the design. The metadata-driven framework, runbooks, and team training are scoped so a competent in-house data team can extend the platform on their own. Ongoing support is available if you want it — never required.
Microsoft Fabric consolidates lakehouse, warehouse, real-time, and AI compute in one governed surface — and pairs cleanly with the rest of the Microsoft estate most Australian organisations already run. For greenfield builds and most modernisations, the consolidation pays back fast.
Ready to ship in six weeks?
Start with a 30-minute discovery call. We'll scope the work, confirm fit, and come back with a fixed quote within one business day.