Vendor-neutral data-platform advisory
Rainier helps you choose the scale, scope, and platform for your data warehouse — independent of any vendor — and then designs, builds, and automates around the decision that actually fits your business.
What we do
Every engagement leads with your outcome — clearer decisions, fewer rebuilds, less manual work — not a tool we happen to like.
Outcome: a platform sized to your real workload — no more, no less.
We pressure-test your requirements, model the architecture, and recommend the platform and topology that match your scale, budget, and team — so you commit with confidence instead of guessing.
Outcome: the new platform in production, with the old one safely behind you.
We build the warehouse, move your data and pipelines with integrity, and hand over a system your team can actually run — incremental, validated, and reversible at every step.
Outcome: the manual, error-prone steps between systems quietly disappear.
Once the platform is solid, we automate the reporting, hand-offs, and data movement that drain your team — turning recurring manual work into reliable, monitored pipelines.
How we work
Most firms start at “design” — after the platform’s already been chosen. We start one step earlier, where the expensive decisions actually get made.
We map your workloads, data volumes, team capacity, and budget — the constraints that should drive the decision.
◆ Engagement starts hereA clear, vendor-neutral recommendation: the platform, scale, and scope that fit — with the trade-offs spelled out.
We translate the decision into a concrete reference architecture, data model, and delivery plan your team can trust.
We implement, migrate, and automate — then hand over a running platform with the manual work designed out.
Already past the decision? We’ll join at Design or Build — but our most valuable work happens at Assess and Recommend, before a costly platform choice is locked in.
Why Rainier
We don’t resell platforms or earn referral fees. The recommendation is the deliverable — and it’s yours, even if it means a smaller engagement for us.
You work directly with the practitioners doing the thinking and the building — not a layer of account managers in front of junior delivery.
We actively design against over-engineering. The goal is the smallest platform that meets your needs with room to grow — not the most impressive one.
We frame success in your terms up front — cost avoided, hours reclaimed, time-to-insight — and report against it, not against hours billed.
Why right-sizing matters
The expensive mistakes in data work rarely come from building too little. They come from building — and automating — more than the business can use, run, or afford. Here’s what we steer clients away from.
It’s tempting to buy for the company you hope to be in three years. But an oversized platform charges you for that future every single month — and adds complexity your team has to carry today.
Automation looks like pure savings until something upstream changes. Automating an unstable or rarely-run process doesn’t remove work — it converts visible manual effort into invisible, harder-to-debug maintenance.
“What’s the smallest platform that meets the next 12–18 months?”
Buy capability on a horizon you can actually forecast, with a clear, low-friction path to scale up when — and only when — real usage demands it.
“Is this process stable and worth automating yet?”
Automate the steps that are frequent, stable, and high-value first. Leave the volatile and the rare manual until they’ve earned the investment — and monitor everything you do automate.
We’d rather hand you a platform you’ll grow into than one you’ll apologize for. Right-sizing isn’t about spending less for its own sake — it’s about matching scope to reality so the money, the team, and the automation all pull in the same direction.
Get in touch
Tell us where you are — still deciding, mid-migration, or drowning in manual work. We’ll tell you, candidly, whether and how we can help.
