Your data lives across disconnected tools and nobody trusts the numbers coming out of any single one.
Service
A data platform built to scale with the business.
We design and build the warehouse, data models, and ingestion infrastructure your product and analytics teams actually need, sized for where your data volume is headed, not just where it is today.
Platform flowActive
- Data audit & discoveryMap sources, volume, and gaps
- 02Architecture & warehouse designChoose stack and data model
- 03Build ingestion & storageStanding up the platform
- 04Validation & documentationData quality checks, schemas
- 05Handoff & scaling planOwnership and growth roadmap
Why teams come to us
What this service helps you solve
Your current warehouse or database wasn't designed for the volume you're generating now.
Every new report requires an engineer to hand-write a one-off query instead of pulling from a shared model.
You need a real data foundation before analytics, ML, or AI initiatives can move forward.
Deliverables
What’s included
Data source audit and discovery sessionWarehouse and architecture designData modeling (schemas, dimensions, relationships)Ingestion infrastructure setupData quality validation rulesAccess control and governance setupPlatform documentationStatement of work before billing
Process
How the service works
- 01
Audit existing data sources, volume, and gaps
- 02
Design the warehouse architecture and data model
- 03
Build ingestion and storage infrastructure
- 04
Validate data quality and document schemas
- 05
Hand off with a documented scaling plan
- 06
Continue or close based on engagement type
Roles
Roles that may support this service
Data EngineerData ArchitectBackend DeveloperAnalytics Engineer
Final roles are recommended after discovery.Discovery before SOW
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
What discovery documents
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
FAQ
Questions about this service
In most cases we build on what you already have, whether that's Snowflake, BigQuery, Redshift, or Postgres. Migration is only recommended when discovery shows your current setup genuinely can't support where the business is headed.
It depends on your source systems and data volume, which is exactly what discovery quantifies before we write a statement of work. Ongoing-team and fixed-scope options are both available depending on how defined the scope is.
We document schemas, ingestion logic, and architecture decisions so your team can own and extend the platform independently, or we can continue as an ongoing team if you'd rather we maintain it.