Teams·Team Types·Data / ML Teams
Hire Data / ML Teams.
Warehouses, pipelines, and the metrics layer your CFO actually trusts.
The squad that fixes "we have data but nobody trusts the dashboard." Pipelines that don’t silently drop rows, semantic layers that survive a re-org, and analytics that ship to the board without finance auditing them first.
2 weeks
To stand up
4
Roles in the team
$60K / month
Starting engagement
Composition
Who's in the team.
A small, senior team with a single delivery lead, every role earning its seat.
Data lead
1
Senior data engineer
2
Analytics engineer
1
ML engineer (optional)
0–1
What they ship
Outcomes, not deliverables.
- Warehouse architecture you can keep for a decade
- dbt graph documented and tested
- Metrics layer your sales, finance, and product teams agree on
- Cost baseline reduction. Typical engagements cut warehouse spend 30–50%
- Dashboard set leadership trusts without a footnote
FAQ
Honest answers.
Can you replatform our warehouse without downtime?
Yes. Typical engagement is a dual-write pattern, six weeks of shadow, and a planned cutover.
Will you fight us on tools?
Only when it matters. We’ll have an opinion on Snowflake vs. BigQuery, but we won’t replatform you out of preference.
What about ML infrastructure?
We support feature stores, training pipelines, and model serving. Often the same team handles both.
A data team, in 2 weeks.
Tell us the problem. We'll compose a team by Friday.