Snowflake Consulting
Cloud-Native Data Warehousing for Australian Enterprise
Snowflake delivers cloud-native data warehousing with industry-leading data sharing, granular access governance, and consumption-based pricing. FI Digital deploys Snowflake on AWS Sydney for Australian data residency. Ideal for financial services, healthcare, and organisations that need to share governed data across organisational boundaries.
What Makes Snowflake Different
Built from the ground up for the cloud — separated storage and compute, consumption-based pricing, and industry-leading data sharing.
Snowflake was built from the ground up for the cloud. Its architecture separates storage from compute — you pay for storage at cloud object storage rates and compute only when queries are running. This consumption-based model is transformative for organisations with variable query workloads. A financial services firm can scale compute up for month-end reporting and scale it back down without provisioning or decommissioning servers.
Beyond pricing, Snowflake excels in two areas that matter deeply to Australian regulated industries: data sharing and governance. Snowflake's Data Sharing feature allows organisations to share live, governed data across Snowflake accounts without copying data — an insurance company sharing claims data with an external actuary, or a healthcare network sharing de-identified patient data with a research institution.
All sharing happens with fine-grained access controls, no data movement, and full audit trails — making Snowflake the dominant data sharing platform for Australian regulated industries.
What We Build on Snowflake
Five capabilities — from data warehouse architecture through Snowpark ML, each production-proven for Australian regulated clients.
Snowflake for Australian Regulated Industries
Three industries where Snowflake's governance and data sharing capabilities are particularly impactful.
Frequently Asked Questions
Ready to build your Snowflake data platform?
Start with a Snowflake Assessment. We review your existing data landscape, design your warehouse and governance architecture, and produce a Platform Design Document — before we write a single line of SQL.