Platforms · Databricks
Databricks consultants for the gap between a notebook and production.
Most of the Databricks work we inherit runs beautifully in a notebook and nowhere else. We build the ingestion, the Delta tables and the jobs that turn it into something your team can rely on every morning.
What we connect it to
What we do
The three services, on Databricks.
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Land source systems in Delta without a nightly surprise
Salesforce, NetSuite and the operational databases arrive as Delta tables through Auto Loader or a managed ingestion path, then merge on a stable key so a replay reconciles instead of duplicating. Late and out-of-order records are handled at the table, not patched afterwards inside a report.
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Take the notebook to something that runs on its own
Logic that works interactively becomes versioned code, tested transformations and a workflow with retries and alerting. Declarative pipelines carry the dependencies where they earn their place, Unity Catalog holds the grants and the lineage, and the layout is something a new engineer can read without a tour.
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Own the jobs, the grants and the cluster bill
Failed runs nobody sees, all-purpose clusters left running overnight, privileges granted to people rather than groups until nobody can say who reads what. We make the workflows observable, size the compute against what the job needs, move the catalog onto group-based access, and hand the runbooks over.
Proof
Patterns we have already delivered.
Anonymised accounts of work our principals delivered in previous roles. These are the patterns that come up on Databricks 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
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
Grounded answers
AI answers grounded in your data
How do people ask the business questions without the AI inventing numbers?
The result
Zero numbers invented instead of retrieved
Read the case study
Common questions
What buyers ask before they call us.
How does a Databricks engagement usually start?
With a fixed discovery of two to three weeks that maps your sources against the catalog and workspace layout, drafts the ingestion contract and bands the effort. Where the build is already defined we begin at scoped delivery instead.
Can you take over a Databricks workspace someone else built?
Yes, and often that is the ask. Notebooks that never became jobs, tables sitting outside Unity Catalog, clusters nobody switched off. We observe what runs today, make it re-runnable, move the governance across, and only then change behaviour.
How is the work priced?
By engagement rather than from a rate card. A discovery is a fixed fee for a time-boxed piece of work. A scoped delivery has a fixed shape and a fixed price agreed at the start, so the number does not move as we go.
Are your Databricks people certified?
Yes. The team holds active Databricks certifications and uses them on real deliveries, including the governance and Genie side of it. We are not sponsored by any vendor, so what we recommend earns us nothing beyond the engagement.
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.