Snowflake gives you a warehouse. We give you the platform around it.

Datacoves provides the engineering foundation that sits on top of Snowflake: managed dbt, managed Airflow, CI/CD, governance, and best practices. All running inside your cloud. Deployed in weeks, not months.

Book a Free Architecture Review

The Snowflake AI Data Cloud handles storage and compute. Who handles everything else?

CI/CD. Lineage. Documentation. Governance. Developer workflows. Secrets management. Orchestration. Snowflake doesn't provide these. Without them, you recreate the same fragmentation in a shinier warehouse.

Snowflake customers often struggle with:

Fragmented dev environments across dbt, Python, and orchestration
Inconsistent Git and CI/CD workflows
Orchestration split across multiple tools
Slow onboarding and tribal knowledge
Limited visibility across ingestion, transformation, deployment

The problem isn’t Snowflake. It’s the missing platform layer around Snowflake.

How Datacoves supports Snowflake teams

Datacoves helps teams develop, govern, and deliver analytics with confidence.

Secure by default

Datacoves runs inside your cloud
Snowflake credentials stay in your control
No SaaS data plane, no VPC peering required
Your existing SOC 2, HIPAA, and security certifications apply. No new vendor risk reviews

Consistent engineering workflows

Standardized dbt + Python environments
Managed Airflow aligned to Snowflake workloads
Git-based development and CI/CD
Every developer gets the same setup on day one

Proven patterns, not rigid platforms

Reference architectures for Snowflake + dbt
Opinionated defaults with flexibility
Support for how your team works
Built by a team that's done this at large enterprises like J&J, Guitar Center, and Kenvue

A reference data architecture built around Snowflake

Infographic explaining Snowflake data architecture

Sources ingested via your tool of choice

Orchestrated with managed Airflow

Transformed with dbt

Developed in standardized VS Code environments

Deployed with CI/CD guardrails

Observed with lineage, logs, and metadata

All running inside your cloud

Datacoves vs. common Snowflake setups

See how Datacoves simplifies and strengthens common setups.

Approach	Where it breaks
Snowflake + DIY OSS	High maintenance, fragile knowledge, slow onboarding
Snowflake + SaaS tools	Security friction, rigid workflows, vendor lock-in
Legacy ETL platforms	Poor dbt fit, slow iteration, closed systems
Snowflake + Datacoves	Snowflake + Datacoves \| Private-cloud deployment, managed dbt + Airflow, CI/CD and governance built in, expert-led implementation framework

Why do enterprises trust Datacoves for managing data?

“Datacoves enabled us to reduce time to market by delivering a secure pre-configured environment for dozens of Analytics Engineers and to implement best-in-class DataOps processes on a dbt and Snowflake foundation”

Tobias Temmink - data management lead J&J

Emilio Gomez

Data Management Lead at Johnson & Johnson

“Without Datacoves I would have needed a whole team to get all of these services put together and integrated”

Eugene Kim

Data Architect at Orrum Clinical Analytics

“Datacoves solves the infrastructure problem. Datacoves packages together all the tools needed to support data teams of all sizes.”

Nate Sooter

Senior Manager Business Analytics at Insightly

“The stability, Kubernetes-backed scalability, and overall reliability of the Airflow environment have been the cornerstone of achieving our data system goals.”

Alex Sweet

Head of Data Platform at Datadrive

“We have a background in Data Architecture, but building a way of managing dbt and Airflow together would have been a project in itself.”

Martin Ryan

Technology Engineering at J&J MedTech

15 minutes. We'll look at your setup and tell you where the gaps are.

Everything you need to build, manage, and scale on Snowflake.

Book a Free Architecture Review G2 stars reviews icon