Services · Databricks
Senior, founder-led engineering for Databricks: lakehouse builds, migrations, Unity Catalog, pipelines and cost tuning — planned clearly, reconciled carefully and handed over ready to run.
What’s Included
Whether you are starting fresh, moving off a legacy warehouse or tidying up a platform that grew fast, we cover the whole stack.
Talk Data PlatformsWorkspaces for development, testing and production, with networking, clusters, secrets and permissions set up properly from day one.
Catalogs, access control, lineage and audit — including a staged move from the Hive metastore.
From legacy warehouses, Hadoop or on-premise databases to Databricks, moved in planned waves and reconciled against the source.
Spark and Delta Lake pipelines with tests, scheduling and monitoring, so data arrives on time and stays correct.
Right-sized clusters, Photon, better file layout and faster queries — so you pay for work done, not idle compute.
Databricks SQL, Power BI or Tableau dashboards, and AI and ML built on governed, trusted data.
How It Runs
We map your workloads, data sources, jobs and costs, and agree on what success looks like.
Workload inventoryTarget architecture, catalog and access model, and a plan that moves in safe waves.
Migration planPipelines, jobs and infrastructure as code, reviewed and tested as we go.
PipelinesRow counts, checksums and business totals compared with the source before anything switches over.
ReconciliationMonitoring, alerts and a runbook your team can use, with ongoing support if you want it.
RunbookWays to Start
Start small, with a clear outcome. Each package is agreed in writing after a short scoping call.
A senior review of your Databricks workspace — setup, jobs, costs and governance — with a prioritised plan of fixes.
Move from the Hive metastore to Unity Catalog without breaking the jobs and dashboards that depend on it.
A production-ready Databricks foundation, with your first pipeline running from source to dashboard.
Why CrewLake
The people you speak to are the people building your platform — engineers with 8+ years of experience. No hand-off to a junior bench.
Every migration is checked against the source — counts, totals and the reports people rely on.
Clean code, documentation and runbooks, so your team can own the platform after we step back.
No. CrewLake is an independent engineering company. We build on Databricks for our clients, and we are not affiliated with Databricks, Inc.
Yes. We map tables, views, permissions and jobs, migrate in stages and validate access before cutting over.
AWS, Azure and Google Cloud. Databricks runs on all three, and we work in whichever your company already uses.
Often, yes. Most savings come from right-sized clusters, job scheduling, file layout and query fixes. A health check shows where the money goes before we change anything.
Yes. We can lead the work, pair with your engineers, or hand over with documentation and runbooks.
Tell us where your platform is today and where it needs to be. You’ll hear back from an engineer — not a sales team.