A governed Databricks lakehouse — production-grade.
Bronze · silver · gold layers on a Unity-Catalog-governed lakehouse. Lakeflow Connect + Auto Loader for ingestion, a metadata-driven framework for the build itself, and serverless serving for SQL, BI, apps and AI — all on Azure, hosted in Australia.
One lakehouse for analytics, ML, and AI.
The hardest part of a modern data platform isn’t any individual tool — it’s making analytics, ML and AI share the same governed surface without a tangle of copies, exports, and bespoke pipelines.
Databricks gives us one Delta-native lakehouse, Unity Catalog as the single source of governance, and serverless compute end-to-end. We build the medallion framework on top of it so your team writes business logic in one layer — not glue code across five.
The reference we build from.
Sources flow into managed ingestion, land in bronze, conform through silver, and are modelled into gold for SQL, BI, AI and partner sharing. Unity Catalog spans the lot. The full reference is below — your build will use the parts that fit your scope.
Six capabilities, one platform.
Bronze · silver · gold layers
Delta-native medallion with append-only bronze, conformed silver, and business-modelled gold. Promotion gates, lineage, and clear ownership at every layer.
Unity Catalog governance
A single pane for catalogs, lineage, row + column masks, Entra-mapped identities, tags, and audit. Dev · test · prod separated from day one.
Lakeflow Connect + Auto Loader
Managed CDC from SaaS + operational databases. Auto Loader for file landing with schema evolution. Structured Streaming for Event Hubs / Kafka where you need exactly-once.
Metadata-driven framework
Pipelines, schemas, schedules, and DQ rules expressed as configuration. Add a new source by editing config — not by hand-coding another notebook.
Serverless serving
Databricks SQL warehouses, Power BI + AI/BI dashboards, Databricks Apps for operational UIs, Mosaic AI for agents and vector search, Delta Sharing for partners.
CI/CD + observability
Asset Bundles, Azure DevOps pipelines, pytest dry-runs, Lakehouse Monitor for drift and quality, System Tables for FinOps and audit.
Built for you if…
- 01
You're modernising a legacy SQL Server, Synapse, or on-prem warehouse and want a Databricks-first lakehouse without inventing the medallion framework yourself.
- 02
You need a governed lakehouse with AI-ready data and want Unity Catalog as the spine of governance from the start.
- 03
You want serverless across compute and serving so capacity scales with the workload, not with a fixed cluster you forgot to turn off.
- 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.
Discover · design · build + enable.
No week-by-week template — each engagement is scoped after discovery and runs in short cycles with demos every cycle.
- — 01
Discover
Source inventory, target architecture, success metrics, and team alignment workshops. Catchment of in-scope domains and the data contracts that need to exist.
- — 02
Design + align
Architecture, scope, and roadmap signed off before production code is written. Trade-offs made on paper — naming, schema conventions, governance, CI/CD, runtime sizing — not in build.
- — 03
Build + enable
Iterative delivery in your own tenancy. Working software in your environment from week one, with demos every cycle. Handover includes runbooks, docs, and a team that can extend it.
Common questions.
Tell us what you’re trying to build.
Send a project brief and we’ll reply within one business day with a scoped response — and only take it on if we’re confident we can ship.