Platform Buildout · Full Implementation

Lakehouse Buildout

Full architecture and implementation: cloud infrastructure, data pipelines, Unity Catalog governance, and CI/CD, with knowledge transfer throughout. Everything your team needs to operate, extend, and troubleshoot the platform independently.
The Outcomes

A complete production platform.
Built to last.

Your Databricks Lakehouse is built on Terraform-defined cloud infrastructure, with automated CI/CD handling deployment across development, staging, and production workspaces. It's governed through Unity Catalog, with centralised access controls and lineage, and its pipelines follow the medallion architecture across the Bronze, Silver, and Gold layers. It goes live with one or more use cases running end to end, and a solid foundation for whatever you build next.
Unified Platform Architecture

A Lakehouse designed for your data, your workloads, and your AI roadmap, not a reference architecture applied without adaptation.

Production-Grade Infrastructure

Terraform-defined development, staging, and production workspaces. Reproducible, auditable, and extensible by your team.

Automated CI/CD

Deployment pipelines that promote every change through each environment, with automated testing before anything reaches production.

Unity Catalog Governance

Centralised access controls, lineage, and metadata management, aligned to your organisation's security and compliance requirements.

Medallion Data Pipelines

Bronze, Silver, and Gold layers built to production standards on your actual use cases.

Team Enablement

Knowledge transfer throughout, backed by documentation and runbooks. Nothing about the platform is unfamiliar to your team by the time it's handed over.

The Architecture

Built on the Databricks Data Intelligence Platform. Designed for your organisation.

The lakehouse architecture combines the flexibility of a data lake with the governance, performance, and reliability of a data warehouse. Databricks unifies data engineering, analytics, and machine learning on a single platform, with Unity Catalog as the governance layer and Delta Lake as the storage foundation.
What's Delivered

Six phases. One engagement, start to finish.

The Lakehouse Buildout covers the full implementation scope, with every step building on the one before it. Architecture, infrastructure, CI/CD, pipelines, and knowledge transfer are all part of the same engagement.
01
Assessment

Requirements gathering, use case selection with your team, and data source inventory. Clear scope before design begins.

02
Architecture Design

Target architecture design: cloud infrastructure, data flows, Unity Catalog structure, governance model, and CI/CD. Reviewed and approved before the build starts, and kept as a permanent reference for your team.

03
Infrastructure and Databricks Setup

Terraform-defined development, staging, and production workspaces, with identity management and networking configured and documented.

04
CI/CD Integration

Deployment pipelines that promote every change through each environment, with automated testing before anything reaches production.

05
Pipeline Development

Bronze, Silver, and Gold pipelines for your selected use cases, built to production standards.

06
Knowledge Transfer and Handover

Architecture documentation, runbooks, and CI/CD playbooks, building on the knowledge transfer that happens throughout. Your team learns not just how the platform works, but why it was built that way.

The Handover Commitment

By the time the engagement ends, your team is already running the platform.

Every Lakehouse Buildout includes a structured handover phase, not just a documentation dump. It brings together architecture documentation, operational runbooks, and CI/CD playbooks, so your team has everything it needs in one place.
What's included
  • Architecture documentation covering infrastructure, governance, and CI/CD design
  • Operational runbooks: how to monitor, debug, and maintain the platform
  • CI/CD playbook: how to deploy, roll back, and extend pipelines
  • Final walkthrough: the platform, its documentation, and the decisions behind it
Results

What migrations deliver in practice

TechnoAlpin

From snow guns to smart systems: TechnoAlpin’s data transformation with Datapao

When we ski down a perfectly groomed slope in the early morning, we rarely think about the streams of data pulsing behind the scenes.
Timeline
Unified data platform live in under 12 weeks
Enablement
Internal team fully enabled to operate independently
Performance
60% reduction in pipeline processing time
Read the whole study
Manufacturing
Not Ready for a Full Buildout?

Need to validate first or address a specific gap?

The Lakehouse Buildout is the full implementation. If you're still evaluating, the PoC is the right starting point. If you need infrastructure or CI/CD resolved before the full buildout, those are available as standalone engagements.