We help Australian organisations design, build and run Databricks lakehouse platforms, from the first workspace to governed, production-grade data engineering, analytics and AI. Our engineers hold Databricks certifications and have spent decades building data platforms.
Databricks is a data and AI platform built around the lakehouse: one copy of your data, stored in open formats such as Delta Lake, used for data engineering, SQL analytics, BI and machine learning alike. Unity Catalog governs it all in one place.
That makes it a strong foundation when data volumes are large, data arrives fast, or analytics and AI teams need to work on the same trusted data instead of their own copies.
Weighing up platforms? Read our Fabric vs Databricks vs Snowflake guide.
We'll give you a straight answer, even when it's “not yet” or “not this one”.
Most of our Databricks builds follow the medallion pattern: data gets cleaner and more valuable at each layer. Select a stage to see what happens there, and what we do.
Stage 1 of 5: Ingest
Data lands from databases, SaaS applications, files and event streams.
Stage 2 of 5: Bronze
Raw data is kept exactly as it arrived, so nothing is ever lost and every load can be replayed.
Stage 3 of 5: Silver
Data is cleaned, de-duplicated and joined into consistent, trustworthy entities.
Stage 4 of 5: Gold
Business-ready tables and metrics, modelled for the questions people actually ask.
Stage 5 of 5: Serve
Dashboards, applications and AI use the Gold layer, with consistent numbers everywhere.
Workspaces, Unity Catalog, networking and security set up properly from day one, ready to grow.
Reliable batch and streaming pipelines with built-in quality checks, monitoring and alerting.
Move from on-premises SQL Server, Hadoop or legacy ETL with parallel runs and reconciliation.
SQL warehouses and Power BI semantic models tuned for speed, concurrency and cost.
Feature engineering, experiment tracking, model deployment and retrieval-augmented apps on your own data.
Infrastructure as code with Terraform and Databricks Asset Bundles, CI/CD, cluster policies and cost monitoring.
Typical problems we solve with Databricks, and what changes when they're solved.
Facing something similar? Talk to us about your use case.
The engineers who'll build your platform hold Databricks certifications.
Principal Data Engineer
Databricks Certified Data Engineer Associate
Principal DevOps Consultant
Databricks Certified Data Engineer ProfessionalDatabricks Certified Data Engineer AssociateTell us where you're starting from. We'll suggest a practical first step, whether that's a new lakehouse, a migration or a health check of what you have.
Frequently Asked Questions
