Databricks consulting services

A Databricks platform your team can own.

Make your existing platform easier to govern, operate, and scale. We connect clear ownership, practical controls, and a reliable process for platform changes.

Request a Databricks assessmentExplore implementation services

You need to decide what to improve first.

Databricks Well-Architected Assessment

We review your live platform and operations against the Databricks guidance that fits the agreed scope.

  • Review your workspace configuration against Databricks Well-Architected guidance.
  • Check who can access your workspaces and data through Unity Catalog.
  • Identify gaps in compute policies, resource limits, and cost visibility.
  • Review your process for platform changes, tests, and production deployments.
  • Check audit logs, monitoring, and recovery procedures.
  • Get a written assessment that shows what to fix first.
Request a Databricks assessment

You know the problem and need help resolving it.

Databricks Platform Modernization

We improve your existing Databricks platform, from Unity Catalog governance and access controls to deployment practices and daily operations.

  • Bring existing Databricks workspaces under Terraform management.
  • Set up Unity Catalog permissions and group-based access.
  • Separate development and production with catalogs, schemas, and workspace bindings.
  • Standardize compute policies and resource limits across workspaces.
  • Build CI/CD pipelines to test and deploy platform changes.
  • Document the setup, deployment process, and day-to-day operating procedures.
Discuss an implementation

You need help with routine platform administration.

Databricks Platform Administration

Routine administration, weekly priorities, and a monthly record of changes, risks, and next actions.

  • Add and remove users, groups, and service principals as your team changes.
  • Update Unity Catalog permissions and resolve workspace access issues.
  • Maintain workspace settings, compute configurations, and compute policies.
  • Review compute usage and costs to flag idle resources and unexpected spend.
  • Use system tables and audit logs to investigate platform changes and access.
  • Keep configuration changes in version control and maintain current runbooks.

Starting at $3,999/month

Discuss workspace administration
  • Azure Databricks Platform Architect accreditation badge
  • Databricks Platform Administrator accreditation badge
  • Databricks Brickbuilder Partner Network Bronze badge

One path from your platform to team ownership.

Engage us for one phase, several, or the full path. The method stays consistent.

Your existing Databricks platform

Workspaces, Unity Catalog, identity, and the teams that use them.

  1. Assess

    A prioritized plan

  2. Govern

    Ownership and access rules

  3. Codify

    Reviewable platform changes

  4. Operate

    Runbooks and team handoff

Your team owns the next change.Clear controls. Documented decisions. A usable handoff.

From our Databricks work

From separate tickets to one review process.

We helped a data platform team move Unity Catalog changes in scope through pull-request review. Team-owned groups, defined approvals, and runbooks supported the handoff.

Read the Databricks case study

Before

Requests crossed Data Engineering, Cloud, IAM, and Security through separate tickets.

After

One place to propose changes, review access, and record approval.

Tools and guidance from 536Tech: DataTF · databricks.wiki · DataTF Enterprise support

Tell us what needs to change.

Describe your Databricks environment and the problem your team faces. The first conversation confirms fit, scope, and the next step.

Your team keeps its data pipelines, AI workloads, and business logic.

Discuss your platform