Fractional CDO for CTOs: Scale Your Data Infrastructure Without the Overhead
Your engineering team is drowning in ad-hoc data requests instead of building product.
The data challenges keeping you up at night
Engineers Building Dashboards
Your $180K/year engineers are writing SQL for marketing reports instead of shipping features. The backlog grows while the data requests pile up.
Tech Debt in the Data Stack
Five different tools, zero documentation, fragile pipelines that break every Monday. Nobody wants to touch the legacy ETL jobs.
No Data Architecture Strategy
You added tools reactively — a BI tool here, a warehouse there. Now the stack is bloated, expensive, and nobody owns it.
Can't Hire Data Engineers
Senior data engineers cost $150-200K and take 6 months to find. When you do hire, they leave within a year because there's no data leadership.
How we solve this for your role
Architecture Assessment
We audit your entire data stack — ingestion, transformation, storage, BI layer. Identify what to keep, what to replace, what to consolidate.
Modern Data Stack Design
Design a scalable, maintainable architecture: warehouse + ELT + transformation + BI. Choose the right tools for your stage, not the trendiest ones.
Self-Serve Analytics
Build governed, self-serve dashboards so product and marketing teams stop filing JIRA tickets for basic metrics. Free your engineers.
Data Team Structure
Define roles, hiring order, and org structure for your data function. We help you hire the first 2-3 people and set up processes that scale.
From first call to measurable results
Stack Audit
Map every data source, pipeline, and tool. Assess cost, reliability, and documentation coverage.
Architecture Design
Design target architecture. Fix critical pipeline failures. Establish monitoring.
Implementation
Migrate to modern stack. Build self-serve dashboards. Set up dbt models and documentation.
Hire & Handoff
Help hire your first data engineer or analytics engineer. Full knowledge transfer and documentation.
Freeing Engineers from Dashboard Duty
A $12M SaaS platform had zero self-serve analytics — every chart required an engineer. We built a governed Metabase instance with 30+ dashboards, automated 85% of ad-hoc requests, and helped them hire their first analytics engineer.
What our clients say
The team performed their duties extremely professionally and efficiently. It's worth highlighting their flexible approach to resource allocation. They are ready to quickly allocate additional capacity when workloads increase. With their help, Refocus addressed all of its analytics needs across…
"Valiotti Data has wonderful people and professionals in their team. Our company required technical assistance in maintaining and developing the existing data warehouse. Data experts from Valiotti quickly grasped the essence of the project and since then the team has…
“Valiotti Data has enabled us to react much more quickly and appropriately to signals and to improve day-to-day operational outcomes.”
Ready to close your data leadership gap?
Book a 30-minute Data Diagnostic call. We'll assess your situation and give you an honest recommendation.
Book a Discovery Call →