Talent & Teams·Team Types·Data
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.
What this team owns
Outcomes, not activity.
- 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
The shape
Who is in the team.
Data lead1
Senior data engineer2
Analytics engineer1
ML engineer (optional)0–1
STANDS UP IN 2 weeks · FROM $60K / month
FAQ
Before you ask.
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.
Tell us what has to move.
A 30-minute call with an engineer, not a salesperson. We will map the capacity and ownership the work actually needs.