Build · 4 weeks

Data Lakehouse Foundation

A production lakehouse deployed in 4 weeks on Databricks or Microsoft Fabric. Medallion architecture, Unity Catalog governance, first data pipelines running, and your data AI-ready.

View foundation on GitHub

Week 1 — Design

Platform selection finalization (Databricks vs Fabric)
Medallion architecture design (bronze/silver/gold)
Data governance framework — Unity Catalog or Purview
Ingestion patterns — batch, streaming, CDC
Security model — workspace isolation, table ACLs

Weeks 2-3 — Build

Workspace deployment via Terraform/Bicep
ADLS Gen2 with medallion folder structure
Unity Catalog or Purview configuration
First data pipelines — 2-3 source systems
Delta Lake tables with schema enforcement

Week 4 — Operationalize

Data quality framework
Monitoring and alerting — pipeline failures, data freshness
Cost management — cluster policies, auto-scaling
Runbook and knowledge transfer
Migration roadmap for remaining workloads

Deliverables

What you walk away with

Deployed Lakehouse Platform

Databricks or Fabric — production-ready with governance and security.

Medallion Architecture

Bronze, silver, and gold layers with clear data contracts between each.

Data Governance

Unity Catalog or Purview configured with lineage, access controls, and cataloging.

First Data Pipelines

End-to-end pipelines from 2-3 source systems — ingestion through serving.

Data Quality Framework

Automated quality checks with alerting on failures and drift.

IaC Codebase

Terraform/Bicep — version-controlled and owned by your team.

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