---
title: "BigQuery × LeanScale: how we run BigQuery"
type: "partner"
partner: "BigQuery"
tier: "Deployed"
practice: "Data & AI layer"
category: "Data Warehouse"
vendor_url: "https://cloud.google.com"
publisher: "LeanScale"
date_modified: "2026-10-06"
canonical_url: "https://www.leanscale.team/knowledge/partners/bigquery/"
source: "LeanScale Knowledge Hub, https://www.leanscale.team/knowledge"
license: "Free to quote and cite with attribution to LeanScale."
---

# How LeanScale runs BigQuery

BigQuery is part of the LeanScale data and AI layer in Data Warehouse. Our teams implement, migrate and operate it inside live client environments.

**Tier:** Deployed. We run it in production.

**Where it sits:** Data & AI, Data Warehouse.

- Projects we run on it: 2
- Native integrations in our stack: 7
- Hub documents: 3

## What we build on BigQuery

2 projects from the LeanScale catalogue run on BigQuery, each with a typical timeline from our delivery record.

- **Usage metering and billing sync** (FinOps, Blueprint, Billing and entitlements): What gets counted and what gets invoiced are the same number. Typical timeline: 2–3 weeks.
- **Warehouse and pipelines** (Data and AI layer, Blueprint, Data pipelines): CRM, billing and product data in one warehouse, modeled and tested. Typical timeline: 4–8 weeks.

## How BigQuery fits the rest of the stack

Headless readiness and native integrations, read off the vendors’ own pages. Nothing here is asserted from memory.

**Connects natively with 7 partners we run:** [HubSpot](https://www.leanscale.team/knowledge/partners/hubspot/), [Gong](https://www.leanscale.team/knowledge/partners/gong/), [Fivetran](https://www.leanscale.team/knowledge/partners/fivetran/), [Hightouch](https://www.leanscale.team/knowledge/partners/hightouch/), [Looker](https://www.leanscale.team/knowledge/partners/looker/), [Sigma Computing](https://www.leanscale.team/knowledge/partners/sigma/), [Tableau](https://www.leanscale.team/knowledge/partners/tableau/).

## What we’ve published on BigQuery

1 playbooks, 1 customer stories, 1 docs.

- [Executive GTM Reporting](https://www.leanscale.team/knowledge/playbooks/executive-reporting-playbook/) (Playbook)
- [Attio with Zev Lebowitz](https://www.leanscale.team/knowledge/docs/gtm-tech-demos-attio-with-zev-lebowitz/) (Doc)
- [Building a first real sales system for an AI company selling into enterprise](https://www.leanscale.team/knowledge/customers/hubspot-gtm-foundation-for-a-first-enterprise-motion/) (Customer story)

Everything on BigQuery: https://www.leanscale.team/knowledge/tools/bigquery/

## Also in Data Warehouse

Other Data Warehouse systems our teams run.

- [Snowflake](https://www.leanscale.team/knowledge/partners/snowflake/) (Certified)
- [Redshift](https://www.leanscale.team/knowledge/partners/redshift/) (Deployed)

## Work with LeanScale

**Running BigQuery?** Embedded LeanScale teams build, migrate and run BigQuery alongside the rest of your stack, on a flat fee. Talk to us: https://www.leanscale.team/contact-us

**Work at BigQuery?** Update your Arsenal profile so BigQuery is in every recommendation we make in Data Warehouse. Update your profile: https://partners.leanscale.team/profile/?v=bigquery. See the programme: https://partners.leanscale.team/?for=BigQuery

All 141 partners: https://www.leanscale.team/knowledge/partners/

## Canonical

https://www.leanscale.team/knowledge/partners/bigquery/