A consulting framework, not a sales funnel.
Five steps that keep every engagement clear and predictable, flexible enough to start wherever you are today. Some clients need all five; others only need a second opinion on step two.
Engagement steps
Discover & assess
We listen first. We interview the people who use the data, map sources, models, pipelines and costs, and find the questions the business still can’t answer with confidence.
- Current-state diagnosis
- Pain points ranked by business impact
- Quick wins you can act on right away
Design the architecture
We design the target architecture and the data model together with your team, and write down every important decision with its trade-offs. No black boxes.
- Target architecture and data model
- Architecture decision records
- Roadmap with effort, risk and sequence
Implement & integrate
We build in small, useful increments: the first subject area in production early, then the next. Models, pipelines and tests are code, versioned and reviewed, and your engineers build alongside ours.
- Models and pipelines in production
- Automated tests and orchestration
- Regular demos with the business
Validate & optimize
We reconcile numbers with the business until they match, then tune performance and cost so the platform stays fast and affordable as it grows.
- Reconciliation with source systems
- Data quality monitoring
- Performance and cost tuning
Transfer knowledge & support
Your team should own what we build. We document, train and mentor, and stay available for ongoing support and evolution if you want us to.
- Documentation and runbooks
- Hands-on training for your team
- Optional ongoing support
Work with us the way that fits.
Project-based consulting or long-term contract work: same senior expertise, different shapes.
End-to-end projects
From concept to delivery with a defined scope, timeline and price. Ideal for a new warehouse, a migration or a modeling initiative.
Embedded specialists & squads
A senior architect, data engineers or a full squad working inside your team as contractors, aligned with your processes and culture.
Technical advisory
A monthly retainer for architecture reviews, decision support and mentoring, without a full project.
Continuous support
Ongoing monitoring, optimization and evolution of your data platform after go-live.
We build it with your team, not just for it.
A platform only one consultancy understands is just a new kind of lock-in. Knowledge transfer runs through the whole engagement, so when we step back, your team is ready to run and evolve what we built together.
- 01Pairing from day oneYour engineers build alongside ours: pairing sessions, shared code reviews and joint design decisions.
- 02Workshops on your own dataHands-on sessions on the models, pipelines and tools we deliver, from dimensional modeling and Data Vault to dbt and Snowflake.
- 03Documentation people actually useArchitecture decisions, data dictionaries, lineage and runbooks, written for the people who will maintain the platform.
- 04A planned handoverOwnership moves to your team step by step, with us available for support while they take the lead.
A few conversations. Not a six-month internal project.
- 01Someone who knows the businessUsually a finance, operations or product lead who can tell us how you define things.
- 02Access to the systemsRead access to sources and your data platform, under your security rules.
- 03A technical point of contactIf you have a data or IT team, one person to align with. If you don’t, we work with whoever you choose.
Let's build your data foundation.
Tell us where your data hurts today. In the first conversation you talk to the architect who would do the work, and you leave with a clearer picture, whether or not we work together.