Why do platforms grow complicated faster than they grow useful?
Because pipelines accumulate while architecture erodes. We engineer the circulatory system that keeps AI and analytics alive: governed data, canonical models, and lineage you can defend in front of an auditor.
The questions we ask before anything is built
A platform is not a collection of pipelines. It is a set of decisions — and we make them explicit before they harden.
- What must this platform make possible in twelve months that is impossible today?
- Which entities does the business actually run on — and does everyone mean the same thing by 'customer'?
- What happens when a source system changes its schema on a Friday night?
- Who owns each layer once we leave — and do they have the skills to own it?
- What is the total cost of a query nobody questioned?
Capabilities, stated as outcomes
Lakehouse architecture
Azure and Databricks lakehouse design — medallion architecture, Unity Catalog governance, and workspace topology decided on evidence, not fashion.
Canonical enterprise models
Conformed dimensions and canonical models that unify ERP, CRM and finance sources — so every report and every model draws from one agreed truth.
Ingestion engineering
Ingestion frameworks built for the real world: schema-drift handling, watermarking, audit trails and alerting — resilient by design.
CI/CD & DevOps for data
Version-controlled, tested, promoted-through-environments data engineering — the discipline software teams take for granted, applied to data.
Three shapes of engagement
Platform work ranges from a single architectural decision to a multi-year build.
Advisory
Senior architecture counsel by the day — reviews, decision support, and a second pair of eyes on the choices that are hard to reverse.
Delivery
A small senior squad that designs and builds — architecture, engineering and knowledge transfer as one engagement, with confirmation gates at every phase.
Review & rescue
An independent, evidence-based assessment of an existing platform or stalled initiative, with a costed path forward.