Data Warehousing
Cloud data warehouses tuned for performance, cost, and trust.
A senior-led approach to data warehousing.
We design, build, and optimize cloud data warehouses on Snowflake, BigQuery, Redshift, and Synapse — with the modeling, governance, and FinOps to keep them healthy.
- 30–50% reduction in warehouse cost
- Sub-second dashboard performance
- Governed, layered data model
- Confidence in every downstream number
Symptoms we're brought in to fix
If any of these feel familiar, you're not alone — and they're solvable.
Runaway cloud spend
Warehouse bills doubling year over year with no clear driver.
Slow queries
Dashboards timing out because of unclustered, unmodeled data.
No modeling discipline
Raw tables joined ad-hoc, with no reusable business layer.
Governance vacuum
No ownership, masking, or lineage on sensitive datasets.
A focused playbook, adapted to your stack
Every engagement combines these plays in the sequence that fits your context.
Warehouse design
Layered architecture — raw, staging, marts, semantic — with clear ownership.
Performance tuning
Clustering, partitioning, materializations, and query optimization.
FinOps
Warehouse cost observability, right-sizing, and workload isolation.
Migration
From legacy warehouses to Snowflake, BigQuery, Databricks, or Fabric.
Measurable impact on the numbers that matter
30–50% reduction in warehouse cost
Sub-second dashboard performance
Governed, layered data model
Confidence in every downstream number
Fluent in the platforms you already run
We're pragmatic about tools — expert across the platforms that lead the industry.
A predictable path from kickoff to value
Discover
Workshops and audits to map your current state, stakeholders, and success metrics.
Design
Reference architecture, roadmap, and phased plan co-created with your team.
Build
A senior pod ships production-grade increments every two weeks.
Launch
UAT, cutover, training, and go-live with white-glove support.
Scale
Enablement, monitoring, and continuous improvement post go-live.
A typical 12-week engagement
Timelines flex with scope — this is what most first engagements look like.
Transparent, outcome-aligned engagement models
Choose the shape that fits your scope. Every plan includes senior practitioners — no juniors, no bench time.
A focused sprint to prove value on a single high-leverage use case.
- Discovery workshop
- One production use case
- 2–4 week engagement
- Async support
A senior pod embedded with your team for continuous delivery.
- Senior 3-person pod
- Bi-weekly demos
- Dedicated Slack channel
- Roadmap & backlog ownership
Multi-workstream program with governance, compliance, and change management.
- Multiple pods
- SOC 2 / HIPAA aligned
- Executive steering
- Global delivery
Common questions about data warehousing.
Have a question that's not here? Our team is happy to help on a short call.
Book a consultationAdjacent practices that often pair with this one
Tell us about your data warehousing goals.
Share a few details and a senior practitioner will reply within one business day — often with a first read on scope, timeline, and approach.
30-minute strategy call
Pick a time that works. We'll come prepared, share candid perspective, and leave you with two or three high-leverage next moves — whether or not we work together.
- Senior practitioner on the call
- Tailored to your stack and industry
- No pitch deck, no filler
- Follow-up recap within 24 hours