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SNOWFLAKE CONSULTING PARTNER

Snowflake Consulting Partner in Australia

We help Australian organisations get the most from Snowflake: well-designed accounts, reliable pipelines, models people trust and consumption costs that stay under control.

Talk to a Snowflake specialist How it fits together
Snowflake and DATA LEAGUE logos
Snowflake consulting partner
3 cloudsRuns on AWS, Azure and Google Cloud
OnshoreAustralian regions keep data in Australia
Per secondCompute billing, with auto-suspend
PerthBased, working Australia-wide

Why Snowflake?

Snowflake is a fully managed cloud data platform that separates storage from compute. Each team or workload gets its own virtual warehouse, so a heavy data load never slows down the finance team's reports, and warehouses suspend themselves when idle.

It's largely self-managing, so there's no indexing, vacuuming or infrastructure to look after. That makes it a natural fit for SQL-centric analytics teams, and its secure data sharing is among the best available.

Weighing up platforms? Read our Fabric vs Databricks vs Snowflake guide.

Is Snowflake right for you?

We'll give you a straight answer, even when it's “not yet” or “not this one”.

A strong fit when

  • SQL-centric analytics teams who want a warehouse that largely runs itself
  • Many concurrent users or workloads that need isolated compute
  • Sharing governed, live data with partners, suppliers or business units without copying it
  • Semi-structured data such as JSON alongside relational data

Worth a second look when

  • Heavy data science in Python or Spark: Snowpark helps, but Databricks may fit better
  • Modest data volumes with mostly Power BI reporting, where Fabric or Azure SQL may be simpler and cheaper
  • No clear owner for cost management: consumption pricing rewards good habits

How a Snowflake platform fits together

Snowflake keeps one governed copy of your data and lets every workload use it independently. Select a stage to see what happens there, and what we do.

Stage 1 of 5: Load

Data arrives from databases, SaaS applications, files and event streams.

What we doWe set up batch and continuous loading with secure stages, or connectors such as Fivetran where they fit.
  • Snowpipe
  • Snowpipe Streaming
  • Secure stages
Snowflake Horizon governs every step: access control, masking, tagging and lineage in one place.

What We Deliver with Snowflake

Account and security foundations

Role hierarchy, SSO, network policies and masking policies set up properly from day one.

Data pipelines

Batch and near-real-time loading with monitoring, alerting and clear ownership.

Data modelling with dbt

Tested, documented models your analysts can understand and extend.

Platform migrations

Move from SQL Server, Oracle, Teradata or Redshift with reconciliation and parallel runs.

Cost optimisation

Warehouse sizing, auto-suspend, resource monitors and query tuning, so credits go where they matter.

AI and data apps

Cortex AI functions, Snowpark Python and Streamlit apps built on your governed data.

Snowflake Use Cases

Typical problems we solve with Snowflake, and what changes when they're solved.

Healthcare

Secure analytics across sites

The challenge
Each site keeps its own extracts, and sensitive client data gets copied into spreadsheets to answer simple questions.
What we build
One governed Snowflake store with row access policies and dynamic masking, so each team sees only what it should.
The outcome
One trusted source, far less data copying, and privacy controls enforced by the platform.
  • Row access policies
  • Dynamic data masking
  • Power BI
Retail & supply chain

Sharing sales data with suppliers

The challenge
Weekly sell-through files are prepared and emailed to dozens of suppliers, each in a slightly different format.
What we build
Secure data shares for each supplier, with reader accounts for suppliers who don't use Snowflake.
The outcome
Suppliers see live, consistent data, and no one spends Monday morning preparing files.
  • Secure Data Sharing
  • Reader accounts
  • Secure views
Any industry

Taming consumption costs

The challenge
Credits creep up month on month, with no clear view of which teams or queries are driving the spend.
What we build
Right-sized warehouses, auto-suspend, resource monitors and a cost dashboard by team and workload.
The outcome
Predictable monthly spend, with clear accountability for every warehouse.
  • Resource monitors
  • Account usage
  • Power BI

Facing something similar? Talk to us about your use case.

Works Well With

dbt Labs The most popular way to model data in Snowflake.
Power BI Fast reports and dashboards on Snowflake data.
OvalEdge Catalogue, glossary and lineage across platforms.
Managed services Monitoring, support and improvement after go-live.

Getting started with Snowflake, or getting more from it?

Whether you're choosing a platform, migrating or reining in costs, tell us where you are and we'll suggest a practical next step.

Talk to us Managed services

Frequently Asked Questions

Snowflake is a cloud data platform delivered as a fully managed service on AWS, Microsoft Azure and Google Cloud. It separates storage from compute, so you can scale each independently and run many workloads at once without them competing.

You pay for storage by the amount stored each month, and for compute in credits, billed per second (with a 60-second minimum) while a virtual warehouse runs. Warehouses suspend automatically when idle, so good sizing and auto-suspend settings make a big difference to cost.

Yes. Snowflake offers Australian regions, and you choose the region when your account is created, so your data can stay onshore.

Snowflake shines for SQL-centric analytics, high concurrency and data sharing with minimal administration. Databricks shines for engineering-heavy, streaming and machine learning workloads. The gap has narrowed in recent years, and our Fabric vs Databricks vs Snowflake guide covers the trade-offs.

Often. Snowflake runs the SQL, and dbt organises it into tested, documented, version-controlled models. It's one of the most popular pairings in modern data teams.

Yes. Our managed services include monitoring, support, cost reviews and continuous improvement for Snowflake, in Essentials, Standard and Premium plans.