High-Level Architecture
Modular and de-coupled
Inputs flow through a phased, governed workflow to produce validated, production-ready outputs
OneData is built to be reused. There's nothing hard-coded to a single client, domain, or project — the same agents drop into any engagement and adapt to what you bring them.
Inputs flow through a phased, governed workflow to produce validated, production-ready outputs
Three layers give the agents their expertise, their standards, and their precision
The know-how — workflow expertise that tells each agent how to do its job well
The standards — enterprise conventions and guardrails enforced at every step
The precision — reliable tools for the repeatable, mechanical work
Choose the code style your engineers prefer — the agents adapt
Clear, step-by-step SQL that's easy to read, review, and maintain over time.
A more condensed SQL style for teams that prefer fewer intermediate steps.
Python-based data pipelines built on Snowflake's native processing framework.
The operational strengths built into every engagement
No hard-coded names, domains, or clients. The same platform works across any data product, out of the box.
Independent work runs simultaneously in efficient batches — accelerating delivery without cutting corners.
Clear review and sign-off gates between every phase. Nothing advances without your approval.
Immutable snapshots and a full audit trail — complete traceability and rollback when you need it.
Built exclusively for Snowflake, using platform-native patterns your teams already trust.
Complete dbt project output, structured, tested, and ready to run.
Delivery quality scored across 10 dimensions, with evidence behind every result.
Full visibility from source systems through to final outputs, at every column.
Accepts the common business documents and data files and prepares them automatically.
Find out how OneData deploys into your Snowflake environment and adapts to your standards.
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