Embedded Architecture Leadership
Listed on the current site as “Fractional Solution Architect”
Senior architecture leadership embedded one or two days a week — without the full-time hire.
Sixteen years of enterprise architecture experience, available to your team on a recurring weekly cadence. Cloud, data, and integration decisions made carefully, with the engineers who will build them.
You are probably here because…
- Your engineering team is strong but lacks a dedicated architect, and decisions are accumulating faster than the organization can metabolize them.
- You're between architecture hires and need a steady hand for six to twelve months.
- A board or audit committee has asked for an architecture roadmap and you do not have an internal author.
- You're starting a multi-year cloud or data initiative and want senior-level direction without committing to a full-time leader on day one.
Deliverables
- Weekly architecture working sessions with the engineering leads and stakeholders.
- Reference architectures, decision records, and target-state diagrams that the team can actually build from.
- Direct participation in technical reviews — RFCs, design docs, vendor evaluations, security reviews.
- Quarterly executive briefings translating technical posture into board-ready language.
- On-call architectural judgment between sessions for material decisions.
From first call to handover.
Discovery
A short engagement to characterize the current state, the open decisions, and the team's posture. Two weeks, light touch.
Recurring engagement
One to two days per week on a quarterly contract. Direct collaboration with the team. Documented decisions. Quarterly executive checkpoint.
Renewal or handoff
Engagements are reviewed quarterly. If the work is finished, we close it cleanly. If it continues, we renew. If you've made the full-time hire, the transition is structured.
Where this has been done before.
Company-wide dbt and Snowflake standards, metadata-driven onboarding from weeks to days, 40% cost reduction with Glue Catalog data quality and lineage, and expansion from Marketing into Revenue, Sales, and Product.
On-prem Hadoop to an AWS lakehouse for a Fortune 500 financial-services client (70% cost, 5x query) and Kinesis/Lambda/DynamoDB pipelines at 1M+ events/day with row- and column-level security.
AWS analytics environment — data lake, Redshift, Athena, and QuickSight — giving operations teams self-serve access to real-time restaurant POS analytics.
Practice: Cloud Architecture & Modernization
Bring us the problem you can already name.
The first conversation is free. If we are the right firm for it, we propose a scope in writing. If we are not, we tell you who to call.