What platforms do you support?

Snowflake, Databricks, Redshift, Fabric, BigQuery. Plus orchestration, ingestion, and BI on top. We focus on stacks we can staff redundantly across time zones.

Can you operate a platform you did not build?

Yes. We run a 2-week onboarding audit first. The audit output becomes the runbook baseline.

How do you handle on-call?

Rotation staffed across time zones. Escalation ladder documented. Handoff call if you have your own on-call team.

Do you help with data platform modernization on the side?

Yes. Upgrades and platform moves can run inside the managed arrangement or as a separate project engagement.

How do you protect against cost runaways?

Query cost tracking, warehouse auto-suspend, budget alerts, and a monthly variance report. We flag the patterns before finance does.

Data Platform Operations. Pipelines healthy. Costs tracked.

Day-two operations for the data platform. We keep pipelines running, models fresh, and warehouse spend under control. Snowflake, Databricks, Redshift, and Fabric.

Talk to us All managed services

What we do

What is included.

Pipeline monitoring

Freshness, volume, and lineage alerts wired into your existing on-call. Downstream impact identified before the dashboard call.
Warehouse cost governance

Query cost tracking, warehouse sizing reviews, and a quarterly optimization cycle. Spend reported in dollars, not credits.
Data quality

Tests run on a schedule. Issues triaged, owners notified, and fixes shipped on a cadence you set.
Schema evolution support

Upstream changes handled before pipelines break. Data contracts where we can enforce them, clear communication everywhere else.
Model refresh and dbt ops

dbt runs, testing, and deployment. Slow models identified and refactored. Unused models retired.
DR and restore testing

Scheduled restore drills. Results documented. Because the day you need to restore is not the day to find out.

Platforms

What we operate.

Snowflake
Databricks
Redshift
Microsoft Fabric
BigQuery
dbt
Airflow
Dagster
Fivetran
Airbyte
Monte Carlo
Elementary
Great Expectations
Atlan

How it works

How it works.

Commitment: Quarterly
Response: SLA-backed
Reporting: Monthly
Handoff path: Always open

FAQ

Questions we get.

What platforms do you support?: Snowflake, Databricks, Redshift, Fabric, BigQuery. Plus orchestration, ingestion, and BI on top. We focus on stacks we can staff redundantly across time zones.
Can you operate a platform you did not build?: Yes. We run a 2-week onboarding audit first. The audit output becomes the runbook baseline.
How do you handle on-call?: Rotation staffed across time zones. Escalation ladder documented. Handoff call if you have your own on-call team.
Do you help with data platform modernization on the side?: Yes. Upgrades and platform moves can run inside the managed arrangement or as a separate project engagement.
How do you protect against cost runaways?: Query cost tracking, warehouse auto-suspend, budget alerts, and a monthly variance report. We flag the patterns before finance does.

Data Platform Operations. Pipelines healthy. Costs tracked.

What is included.

Pipeline monitoring

Warehouse cost governance

Data quality

Schema evolution support

Model refresh and dbt ops

DR and restore testing

What we operate.

How it works.

Questions we get.

See also.

Tell us what you want to move.