Inteledyne/Services

Architecture Review

Single-engagement architecture review for a specific decision, system, or proposal. Documented, decision-focused, no ongoing commitment.

When to Engage

The right moment.

Engagements are most useful when the moment is right. Below are the situations where this kind of work has produced the most value — for the client, and for the architectures that have followed.

  • A vendor has proposed an architecture and you want an independent technical review before signing.

  • An internal team is proposing a major change and the leadership needs a defensible second opinion.

  • You've inherited a system and want a clear, written assessment of its posture, risks, and remediation paths.

  • You're deciding between two technical approaches and need a documented recommendation.

What You Get

Tangible deliverables.

A written architecture review document — observations, findings, risks, recommendations.

A walkthrough session with the leadership and engineering teams.

Stated assumptions and the trade-offs underneath each recommendation.

Optional: a follow-up working session sixty days later to review what was acted upon.

How It Works

Engagement structure.

STEP 01

Scoping

A short conversation to establish the question being asked, the materials available, and the intended audience for the review.

STEP 02

Two-week review window

Documentation review, structured stakeholder interviews, and synthesis — concluded with a written deliverable and walkthrough.

STEP 03

Decision support

The deliverable is decision-focused. It does not recommend a vendor unless the question requires it. It surfaces what is load-bearing, what is risky, and what is irreversible.

In Practice

Where this work has lived.

Hashmap / NTT Data

Three-month modernization and migration engagements for Hashmap (and NTT Data, post-acquisition) clients (Poly/Plantronics, SEI Investments, Juniper Networks) — producing modernization plans, design documents, and resourcing and project plans. Snowflake security frameworks, column- and row-level AWS data security patterns (Pulumi, Glue, Lake Formation, Athena), and on-premises-to-cloud analytics modernization.

Precision Digital Health

Reviewed and rebuilt a metadata-driven serverless Lambda framework — pipelines deployed from YAML configurations, replacing the repetitive ETL code path with declarative configuration.