Free Pack · Data Engineering
Snowflake Optimization Pack
Stop the credit burn without breaking the analytics: a 24-question Snowflake assessment, a 20-point optimization checklist, a strategy decision matrix, a tuning project plan, and a validation plan — warehouses, modeling, and FinOps.
01 — Inside the pack
What’s inside
Four working artifacts. The checklist and the architecture diagram download instantly; the questionnaire and the decision workbook — the high-value bundle — are free with a work email.
PDF · multi-page
Discovery questionnaire
24 scored discovery questions across 6 sections with evidence prompts, response scales, and a scoring guide — the workshop instrument for honest scoping.
XLSX · 4 sheets
Decision workbook
Excel workbook: decision matrix with auto-weighted scoring and 1–5 rating validation, phased project plan with owners and deliverables, and a validation test plan with result tracking.
PDF · 20 checks
Readiness checklist
20-point readiness checklist across 5 categories with sign-off blocks — use as phase entry criteria and go/no-go gates.
SVG · one page
Architecture diagram
One-page blueprint-style architecture diagram — print it for the workshop wall or drop it into your deck.
02 — Architecture at a glance
Snowflake cost & performance loop
Ingest efficiently, model deliberately, size warehouses to workloads, and keep FinOps watching the loop.
03 — Who it’s for
Built for the people doing the work
- Data teams watching Snowflake credits grow faster than business value
- Analytics engineers fighting slow dashboards and concurrency queues
- FinOps and data leaders who need a defensible optimization plan, not just a smaller bill
04 — How to use it
Run it like a program, not a download
- Follow the credits
Sections 1 and 3 of the questionnaire build the fact base: which warehouses, which queries, which teams burn credits. Optimization without attribution is guesswork.
- Separate waste from value
The checklist distinguishes pure waste (idle warehouses, uncached full scans) from underpriced value (workloads that should cost what they cost). Cut waste first; price value deliberately.
- Fix the model, not just the warehouse
Most 'Snowflake is slow/expensive' problems are modeling problems (no clustering, exploding joins, unfiltered scans). The project plan sequences modeling fixes before warehouse surgery.
- Choose the strategy with the matrix
Rightsize-and-tune vs. remodel vs. full FinOps program — scored, not vibes.
- Prove savings and protect performance
The validation plan re-measures cost and p95 dashboard latency together. Cheaper but slower is not a win.
05 — Get the full pack
Unlock the questionnaire + decision workbook
Free for practitioners. We ask for a work email so an architect — not a drip campaign — can follow up if your scores raise flags.
06 — Keep going
Pair the pack with an assessment
Recommended next step
Data Platform Health Assessment
Run the interactive assessment, then compare its output against your pack scores — the two together scope an engagement honestly.
Talk to an Architect
Bring a completed pack to your discovery call
It compresses weeks of fact-finding into one working session — and the scoring shows us both where the risks are.