Datacoves enables Snowflake customers to deploy secure, end-to-end data engineering environments with dbt, Airflow, and modern DevOps best practices
Datacoves is expanding its integration with the Snowflake AI Data Cloud, giving Snowflake customers a secure, end-to-end data engineering environment with dbt, Airflow, and modern DevOps best practices, all running inside their own cloud.
This means Snowflake teams get a consistent foundation for development, orchestration, testing, CI/CD, and observability without moving data outside their environment or introducing new security risks.
“Snowflake is the analytical backbone for many of the world’s most data-driven organizations. Datacoves gives those teams a secure and opinionated platform to run modern data engineering practices on top of Snowflake, without forcing them into rigid SaaS tools or DIY infrastructure.”
— Noel Gomez, Co-Founder of Datacoves
What This Means for Snowflake Customers
Organizations using Snowflake can standardize how teams develop and operate analytics workflows using dbt, Airflow, Python, and Git-based workflows while maintaining full control over identity, access, logging, and infrastructure.
Datacoves is commonly used by large enterprises running Snowflake in regulated and complex environments, including life sciences, consumer goods, and financial services. These organizations require private deployment, operational flexibility, and strong engineering foundations.
Snowflake Cortex CLI: Built Into the Datacoves IDE
Datacoves already supports the Snowflake Cortex CLI (CoCo) inside the in-browser VS Code environment with zero setup required for end users. Snowflake credentials are automatically configured through the existing Snowflake extension, so developers can start using CoCo immediately.
The Cortex CLI works like Claude Code but runs on Snowflake’s infrastructure. Within Datacoves, developers can use it to:
• Query and explore Snowflake data directly from the terminal
• Generate Python scripts that interact with external APIs and services
• Find tables, columns, and schema details across Snowflake databases
• Accelerate development for both Snowflake-specific and general-purpose tasks
Because Datacoves provides a standardized, preconfigured development environment, there’s no installation guesswork. CoCo picks up existing credentials and connections automatically.
Snowcap: Open-Source Infrastructure as Code for Snowflake
Datacoves also maintains Snowcap, an open-source, Snowflake-native infrastructure-as-code tool built from deep experience managing Snowflake at scale.
Snowcap uses YAML or Python configuration, requires no state file, and supports over 60 Snowflake resource types. It includes opinionated accelerators for some of the most complex areas of Snowflake administration:
• Role-Based Access Control (RBAC) for managing permissions at scale across teams, projects, and environments
• Tag-Based Masking Policies for applying dynamic data masking consistently across sensitive columns
• Row Access Policies for controlling row-level security with auditable, version-controlled configurations
These are areas where manual Snowflake administration breaks down fast, especially as teams and data grow. Snowcap brings software engineering discipline to Snowflake governance with CI/CD integration through GitHub Actions.
A Platform Built Around Snowflake
Snowflake handles storage and compute. Datacoves provides the engineering layer that sits on top: managed dbt, managed Airflow, CI/CD, governance, and best practices. Together, they give enterprise teams a complete, production-ready data engineering environment deployed in weeks.
Teams eliminate fragmented environments, inconsistent workflows, and manual platform maintenance. The result is faster onboarding, clearer ownership, and improved visibility across ingestion, transformation, orchestration, and deployment.
To learn more about how Datacoves supports Snowflake teams, book a free architecture review or visit datacoves.com/snowflake.
About Datacoves
Datacoves is an end-to-end data engineering platform that helps organizations deliver secure, high-quality data products with speed and confidence. Deployed inside a customer’s own cloud and enterprise network, Datacoves provides a unified environment for development, orchestration, testing, CI/CD, and observability. It delivers a managed platform for dbt, Airflow, and Python without vendor lock-in.
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