EXPERTISE
Systems Architecture
Scalable, maintainable architectures that align technology with business goals and evolve with demand.
What this looks like in practice
- Current-state discovery, documentation, and dependency mapping
- Target-state architecture, roadmaps, and phased migration plans
- API design, integration patterns, and event-driven architecture
- Data architecture: modeling, storage strategy, and access patterns
- Technology and vendor evaluation, with honest build-vs-buy tradeoffs
- Architecture review, governance, and technical decision records
How I approach it
I start with the system that actually exists, not the one in the diagram. Discovery means reading the code, talking to the people who run it, and finding the undocumented decisions that keep it working — before proposing anything new.
From there, the target architecture is built around real constraints: team size, timeline, budget, and the parts of the current system that are genuinely worth keeping. Change is sequenced so the business keeps running while the system evolves underneath it.
The deliverable isn't a slide deck. It's a roadmap the team can execute, decisions that are written down and defensible, and an architecture that's still legible a year later — to the next engineer, not just the one who built it.