Omnia | Data, AI, design & engineering, brought together

PARTNERS

Data engineering and AI, built on Databricks

Production-grade data engineering and machine learning on the Databricks Data Intelligence Platform - from the first pipeline to a governed AI workload.

OVERVIEW

We're a certified Databricks partner, delivering data engineering, lakehouse architecture and AI in Australia across retail, financial services and insurance.

Databricks gives you one governed platform for analytics and AI, built on production-grade data engineering foundations. We've spent enough time in it to know how to keep that promise once you're past the first pipeline and into the tenth.

IN PRACTICE

What we do

Six ways we help you get more from Databricks, from lakehouse architecture and platform migration through to ML, AI and analytics.

Data engineering and lakehouse architecture

End-to-end implementation on Databricks - medallion architecture, Delta Lake, Unity Catalog and the automated pipelines and CI/CD that keep it running without a full-time babysitter.

Data engineering and lakehouse architecture

End-to-end implementation on Databricks - medallion architecture, Delta Lake, Unity Catalog and the automated pipelines and CI/CD that keep it running without a full-time babysitter.

Data engineering and lakehouse architecture

End-to-end implementation on Databricks - medallion architecture, Delta Lake, Unity Catalog and the automated pipelines and CI/CD that keep it running without a full-time babysitter.

Data platform migration

Structured data platform migration to Databricks in Australia, moving off legacy systems on Azure or AWS with full validation so reporting doesn't break on day one.

Data platform migration

Structured data platform migration to Databricks in Australia, moving off legacy systems on Azure or AWS with full validation so reporting doesn't break on day one.

Data platform migration

Structured data platform migration to Databricks in Australia, moving off legacy systems on Azure or AWS with full validation so reporting doesn't break on day one.

ML model development and MLOps

Production machine learning in Australia using MLflow - training, feature engineering, experiment tracking, automated deployment and drift monitoring once the model's live.

ML model development and MLOps

Production machine learning in Australia using MLflow - training, feature engineering, experiment tracking, automated deployment and drift monitoring once the model's live.

ML model development and MLOps

Production machine learning in Australia using MLflow - training, feature engineering, experiment tracking, automated deployment and drift monitoring once the model's live.

Databricks and Azure Data Factory

Enterprise-scale pipelines combining Databricks compute with ADF orchestration for teams already invested in the Azure ecosystem.

Databricks and Azure Data Factory

Enterprise-scale pipelines combining Databricks compute with ADF orchestration for teams already invested in the Azure ecosystem.

Databricks and Azure Data Factory

Enterprise-scale pipelines combining Databricks compute with ADF orchestration for teams already invested in the Azure ecosystem.

AI and agentic workloads

LLM-powered applications and RAG pipelines governed through Unity Catalog, so your AI workloads follow the same access rules as everything else.

AI and agentic workloads

LLM-powered applications and RAG pipelines governed through Unity Catalog, so your AI workloads follow the same access rules as everything else.

AI and agentic workloads

LLM-powered applications and RAG pipelines governed through Unity Catalog, so your AI workloads follow the same access rules as everything else.

Databricks SQL and analytics

Semantic layer design and SQL analytics that let the business self-serve on a governed foundation, instead of filing a ticket for every new report.

Databricks SQL and analytics

Semantic layer design and SQL analytics that let the business self-serve on a governed foundation, instead of filing a ticket for every new report.

Databricks SQL and analytics

Semantic layer design and SQL analytics that let the business self-serve on a governed foundation, instead of filing a ticket for every new report.

OUR PEOPLE

A team of experts

Our data engineers and ML specialists hold Databricks' Data Engineer and Machine Learning certifications, with production experience across Unity Catalog, MLflow and Delta Lake. We build for the platform you'll still be running in three years, not the one that looks best in a demo - backed by Omnia Collective's broader data, AI and delivery teams when a build needs more than one specialism.

What the partnership means for you.

Certified Databricks expertise:

Strategy and Priorities:

Certified expertise across Databricks' Data Engineer and Machine Learning professional tracks

Direct Databricks access:

Digital Priorities:

Direct access to Databricks' technical resources and early visibility on the product roadmap

Proven across sectors:

The Challenge:

Commercial outcomes backed by demonstrated deployments across multiple sectors, not a single reference case

DBU pricing guidance:

Our Collaboration:

Guidance on DBU-based pricing and cost optimisation, so your platform spend doesn't outpace its value

LET's TALK

The full transformation journey, under one roof.

LET's TALK