Data Platform on Databricks – Infrastructure & Configuration

Provision and configure the Databricks workspace and cloud infrastructure fully as code.

  • Databricks workspace provisioned and configured as code
  • Cloud networking, storage, and access controls set up
  • All infrastructure reviewed and audited via Git workflows

What you get

Databricks Workspace

Provisioned via Terraform: reproducible, version-controlled, and ready for teams.

Cloud Networking

VNet/VPC injection, private endpoints, and firewall rules configured for security and performance.

Cluster Policies

Cost controls, auto-scaling limits, and instance types locked down to prevent runaway spend.

CI/CD for Infrastructure

Deploy workspace changes through Git workflows, not portal clicks.

Unity Catalog

Centralised governance for data and AI assets across your Databricks environment.

Who it's for

You need Databricks but do not want a hand-built, un-reproducible workspace. Or you already have one and it is becoming a maintenance problem. You want the infrastructure layer solid before investing in pipelines.

How it works

  1. 1

    Discovery

    Assess current data infrastructure, identify gaps and requirements.

  2. 2

    Architecture

    Design workspace topology, networking, storage, and governance model.

  3. 3

    Build

    Provision everything as code: Terraform modules, Databricks configuration, CI/CD.

  4. 4

    Handover or Operate

    Documentation and knowledge transfer; your team takes ownership, or we continue managing the platform as a service.

Ready to get started?

Browse available senior engineers and reserve capacity to start this week.

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