Platform Buildout
Build a production-ready
Databricks Lakehouse
Getting started on Databricks is easy.
Getting it right is harder.
The Approach
Architecture first. Production standards throughout. Your team runs it when we leave.
Every platform engagement starts with the target architecture, not with code. We design the cloud infrastructure, data flows, governance model, security, and CI/CD before implementation begins. Then we build against that architecture, with every component held to production standards. Knowledge transfer happens throughout, and the handover includes the runbooks and documentation your team needs to run the platform on their own.
Design before implementation.
Cloud infrastructure, data flows, Unity Catalog structure, governance model, security, and CI/CD are all defined, reviewed, and signed off before the build starts. Implementation follows the plan, not the other way around.
Production standards from the first commit.
Every pipeline, Terraform module, and deployment script is built to that standard. Development, staging, and production environments are separated from the start, so there's no "productionisation" phase waiting at the end.
Your team owns it after we leave.
Handover is a structured phase, not an afterthought. It includes runbooks, architecture documentation, and CI/CD playbooks, building on the knowledge transfer that happens throughout the engagement. When we're done, your team can operate, extend, and troubleshoot the platform on their own, and will already have deployed a change through the CI/CD pipeline independently.
Four packages.
Every stage of the platform journey.
Databricks Lakehouse PoC
- Use case selection and requirements gathering
- End-to-end Bronze → Silver → Gold pipeline on your data
- Databricks SQL Warehouse + AI/BI dashboard
- Enablement session
Lakehouse Buildout
- Requirements assessment and architecture design
- Cloud infrastructure setup
- CI/CD implementation
- Pipeline build and validation
- Handover and enablement
CI/CD Buildout
- Requirements assessment and CI/CD architecture design
- Automated testing and deployment pipeline implementation
- Unit, component, and integration test examples
- Handover and enablement
Secure Infrastructure Buildout
- Security and compliance requirements assessment
- Three-environment infrastructure and security design
- Reusable Terraform modules for your cloud and Databricks setup
- Handover and enablement
Structured phases.
Defined outputs.
Requirements gathering, use case selection, and data source inventory. Clear scope before design begins.
Target architecture design: cloud infrastructure, data flows, Unity Catalog structure, governance model, security, and CI/CD. Reviewed and approved before the build starts.
Implementation against the approved architecture, with every component built to production standards.
Every part of the platform is tested end to end and signed off with your team before go-live.
Runbooks, documentation, and architecture guides, building on the knowledge transfer that happens throughout. When we're done, your team can operate, extend, and build on the platform independently.
What migrations deliver in practice
From snow guns to smart systems: TechnoAlpin’s data transformation with Datapao
