We help enterprises scale analytics without scaling risk
Datacoves provides private, secure analytics platforms that help enterprise data teams scale modern analytics with confidence. We exist for organizations where analytics is business critical, environments are complex, and failure is not an option.
Why Datacoves exists
Modern analytics tools optimize for team-level speed. Enterprise data leaders must optimize for organizational trust, reliability, and risk.
Datacoves exists because local tooling decisions compound into enterprise-level outcomes, affecting auditability, security posture, delivery velocity, and long term cost.
We help data leaders turn best practices into default behavior so analytics can scale without becoming fragile.
The problem we solve
DIY analytics works, until it does not. As teams grow, small decisions around environments, CI/CD, access, and governance quietly become:
- Operational risk
- Delivery bottlenecks
- Compliance exposure
- Platform sprawl
Datacoves addresses the gap between what works for one team and what holds up across an enterprise.
Our point of view
dbt brought software engineering discipline to analytics, much like Ruby on Rails did for application development.
At scale, flexibility without strong conventions slows teams down and increases risk.
Datacoves applies opinionated defaults based on years of enterprise experience, so teams do not have to learn painful lessons the hard way.
This is how analytics platforms mature.
What Datacoves delivers
Datacoves is a private, managed analytics platform designed for enterprise operations. The result is faster delivery with less risk.
Private by default deployments with no VPC peering
Secure access to internal systems and data
Consistent environments across teams and regions
Built-in governance for analytics workflows
Safe, repeatable change through standardized CI/CD
The problem we solve
Datacoves partners with enterprise data and analytics leaders who:
- Are past experimentation
- Operate in regulated or high-stakes environments
- Need analytics they can trust at scale
- Care about long-term platform sustainability
If reliability, governance, and velocity all matter, Datacoves fits.
How we operate
Our principles reflect enterprise realities:
- Security and privacy by default
- Consistency over customization
- Proven architectures over novelty
- Change management built into daily workflows
- Long-term partnerships over short-term wins
Meet the founders
Datacoves was founded by practitioners with decades of experience building and operating data platforms inside large enterprise organizations.
Noel brings over 15 years of experience guiding large enterprises in improving data management practices and scaling analytics delivery. He has delivered analytics and data infrastructure initiatives across Fortune 100 companies and other complex, regulated environments and is a recognized dbt expert.
At Datacoves, Noel focuses on building secure, governed platforms that enable organizations to adopt modern data systems without reliance on proprietary technologies.
Sebastian has been building software platforms since the mid-nineties, with experience across development, architecture, and product leadership. He has helped enterprise clients adopt modern delivery practices focused on measurable outcomes and operational efficiency.
At Datacoves, Sebastian leads design to ensure Datacoves helps companies deliver secure, automated analytics systems that support data loading, transformation, and analysis using proven quality and operational practices.
Join our talented team of experts
Be part of a team grounded in expertise, energized by innovation, and focused on growing and achieving success together.
Technical Customer Success Manager
Own the customer journey in a fast-growing startup from onboarding to mastery.
Django/Kubernets Developer
Help build the next generation of tools for modern data engineers.
Seamless data analytics with managed dbt and Airflow
Don’t let platform limitations or maintenance overhead hold you back.
See it in Action
Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration, as well as VS Code in the browser for development