Platforms · Snowflake
Snowflake consultants for everything that has to land in it first.
Snowflake is rarely the hard part. The hard part is what lands in it, what the columns are agreed to mean, and why the credit spend moved last month.
What we connect it to
What we do
The three services, on Snowflake.
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Get source data in on a path you can re-run
Salesforce, NetSuite and the operational databases land through Snowpipe or a scheduled load into a staging schema, then merge into the modelled tables on a stable key so a replay reconciles. Streams and tasks carry the incremental work, and every run leaves a record of what it touched.
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Model it so two teams reach the same number
Conformed dimensions, tested transformations and naming your analysts can follow without asking anyone. Zero-copy clones give each change a real environment to be validated in before it reaches production, and the definitions live in source control rather than inside a saved query nobody owns.
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Bring credit spend and role grants back under control
Warehouses sized for the worst query anyone ever ran, auto-suspend switched off, privileges granted to individuals until nobody can say who sees what. We attribute the credits to the workloads causing them, size and suspend the warehouses to match, and rebuild the hierarchy on functional roles your team can administer.
Proof
Patterns we have already delivered.
Anonymised accounts of work our principals delivered in previous roles. These are the patterns that come up on Snowflake in nearly every scoping call.
Governed by design
One governed home for your data
How does data from every system land somewhere the whole business can trust?
The result
One governed home for every data feed
Read the case study
One version of the truth
One customer record across every system
Why does every system hold its own version of the customer?
The result
One customer record read by every system
Read the case study
Re-runnable by design
Sync records between systems without duplicates
How do you keep two systems in step without creating duplicates?
The result
Zero duplicate records created on a rerun
Read the case study
Common questions
What buyers ask before they call us.
How does a Snowflake engagement usually start?
With a fixed discovery of two to three weeks that maps your sources against the account and schema layout, drafts the ingestion contract and bands the effort. Where the build is already defined we begin at scoped delivery instead.
Our Snowflake bill keeps climbing. Can you help with that?
Usually. Most of it traces back to warehouse sizing, auto-suspend left off, queries scanning far more than they need, and loads running more often than anyone reads the result. We attribute the credits to workloads first, so the changes are argued from evidence rather than instinct.
How is the work priced?
Per engagement rather than from a rate card. A discovery is a fixed fee for a time-boxed piece of work. A scoped delivery carries a fixed shape and a fixed price agreed up front, so the number does not move as we go.
Are you a Snowflake partner?
No. We hold no Snowflake certification and no vendor sponsorship, so nothing we recommend earns us anything beyond the engagement itself. What we bring is delivery history on Snowflake ingestion, modelling and cost work, alongside the Azure and Databricks certifications the team does hold.
Tell us what’s not right between your systems.
No obligation, no pitch deck. We reply within one business day.
Location
Brisbane, QLD. Working across Australia.
Independent
The people who scope the work build the work.