Data pipeline automation:
Get your data moving
quickly and reliably
Your end users can't afford delays or brittle data pipelines
Modern data teams are under intense pressure to deliver pipelines quickly and with uncompromising reliability. But manual build steps, inconsistent testing, and one-off development patterns create bottlenecks and introduce risk—long before data ever reaches production.
Our DataOps automation platform streamlines pipeline development and delivery across your entire Snowflake ecosystem. With reusable patterns, automated testing, CI/CD for every change, and AI assistance from Metis, teams ship pipelines faster, safer, and with governance built in from the start.
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Manual development slows delivery
Without reusable patterns or automation, teams rebuild the same logic repeatedly - adding time, toil, and inconsistency.
Testing is inconsistent or missing altogether
When validation relies on human effort, defects slip into downstream systems and become harder to trace.
Workloads vary across Snowflake and dbttm
Managing transformations across dbt™, Snowflake Native Apps, and custom logic creates complexity and operational overhead.
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Parallel work causes breakage
Without isolated development environments, engineers collide with each other's changes and slow the entire team down.
Governance doesn't keep pace with changes
Releases move faster than quality reviews unless guardrails and policies are embedded directly into the development workflow.
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Automated CI/CD for data pipelines
Continuously build, test, and deploy pipelines using predictable, repeatable automation across every Snowflake workload.
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Reusable pipeline patterns and components
Accelerate delivery with standardized, versioned templates for dbttm, Snowflake workloads, and productized assets.
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AI-assisted pipeline development with Metis
Generate pipeline code, tests, metadata, and documentation with Metis - the data engineering AI agent built to reduce toil and speed development.
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Isolated, parallel development environments
Give every engineer a safe, independent workspace to build and test changes without impacting others.
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Built-in testing and quality gates
Automatically validate data and enforce organizational standards before pipelines reach production.
This approach delivers strong governance, the necessary geo-restrictions, departmental autonomy, and that all-important innovation at speed.
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DataOps.live continues to be a true partner, supporting OneWeb's continuous rollout of data products across the organization for the benefit of our customers.
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DataOps.live is about collaborative development. It’s about the ability to coordinate and automate testing and deployment, and therefore shorten the time to value.
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Build robust, governed data pipelines at speed
Want to see DataOps.live in action? Join our data engineering team for a hands-on lab to learn how to automate all your data pipelines for trustworthy, AI-ready data. Get started with CI/CD for Snowflake.
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