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Analytics engineering consultancy for US teams

Senior analytics engineering, without the hiring cycle. Baked Labs builds and runs tested, documented, AI-ready data foundations (warehouse, dbt, semantic layer and dashboards) for companies that need trustworthy metrics now.

Start with a US$4,000 audit Book an intro call

Three ways in

EngagementPrice (USD)Scope
Data Foundation AuditUS$4,000 one-off7–10 days. Warehouse, dbt, orchestration and BI review; 90-day roadmap. Fee credited to Build within 30 days.
Foundation SprintUS$12,000–20,000 one-off4–6 weeks. A production-grade foundation built end to end. Exact quote after the audit.
Build planUS$6,997 per monthMonth-to-month. One active request at a time, each a tested, documented PR.

Prices are in US dollars and exclude applicable sales taxes. MSA, DPA and NDA are available on request.

Who it's for

The stack we work in

dbt for transformation; Snowflake, BigQuery or Postgres warehouses; Fivetran or Airbyte for ingestion; Dagster or Airflow for orchestration; Great Expectations for quality; the dbt Semantic Layer (MetricFlow) or Cube for governed metrics feeding Looker, Metabase or Mode.

How we work

  1. Agree scope and access. MSA and DPA signed, least-privilege access set up in your environment.
  2. Submit work. Requests go in a private Slack channel or Linear; you reprioritise anytime.
  3. Sized, confirmed, shipped. Each request is sized and confirmed, then shipped as a PR with tests and docs.
  4. Review and merge. Revisions on that request are included.

Your cloud, your code

Read-only by default, no copying production data to local machines, credentials never by email, and same-day access revocation at offboarding. Everything lives in your repository with docs and runbooks.

Self-assess first with the 30-point dbt project health checklist.