Data Foundation

Build a Trusted Data Foundation

For data leaders who need more than technical capacity — you need a partner who understands your business context. We build trusted data foundations using dbt, open-source tools, and modern cloud warehouses like BigQuery, Snowflake, and Databricks on GCP and AWS. Fast to start, built to govern, and designed so your team owns it from day one.

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Stop questioning data and start using it

  • Reports that match across tools because data flows through one trusted source
  • Pipelines that run reliably so your team can focus on insights, not firefighting
  • Tested, documented data models that the entire organization can trust
  • Clear governance processes that keep data quality high as you scale

This is for you if...

  • Your team spends more time fixing pipelines than delivering insights
  • You need a partner who understands business context — not just SQL
  • Nobody trusts the numbers because every tool shows something different
  • You’re scaling fast and your data infrastructure can’t keep up

This isn't the right service if...

  • You need ongoing database administration or managed services
  • You’re looking for full business system design and integration (ERP, CRM buildouts)
  • You need a large embedded team for 6+ months

How We Help

Data Strategy & Architecture

Design the right approach for your stage, stack, and goals — including Databricks, BigQuery, and Snowflake on GCP and AWS

Pipeline Development

Build reliable data flows from source to insight

dbt Implementation

Transform your raw data into trusted, tested models

Data Governance

Establish the processes that keep your data trustworthy at scale

Databricks Adoption & Migration

Evaluate, migrate to, or optimize Databricks — from lakehouse architecture to Unity Catalog governance

How It Works

1

Assessment

We audit your current data infrastructure — sources, pipelines, models, and governance — to understand what's working and what's not.

2

Architecture

We design the target state: data models, pipeline architecture, transformation logic, and testing strategy.

3

Implementation

We build and deploy using dbt, your cloud warehouse, and open-source tools your team already knows.

4

Handoff

We document everything, train your team, and ensure they can maintain and extend the foundation independently. The goal is changing how your organization trusts and uses data — not just delivering infrastructure.

Engagements start at $5,000

Scoped and priced upfront based on complexity and business impact. No hourly billing. Most projects range from $10,000-$50,000.

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Trusted By

Mid-Market SaaS Data Team

Pipeline reliability from constant firefighting to 99%+ uptime

A 200-person SaaS company’s data team was spending half their time fixing broken pipelines instead of delivering insights. We implemented a dbt-based transformation layer with automated testing, documentation, and clear governance processes. Their data team shifted from reactive maintenance to proactive analysis within six weeks.

Venture-Funded B2B Platform

Migrated from legacy ETL to modern cloud warehouse in 8 weeks

A venture-funded B2B platform was outgrowing their legacy data infrastructure. We designed and implemented a migration to BigQuery with dbt, preserving business logic while adding data quality tests and documentation. Their team now manages the entire stack independently.

Go Deeper

Read our practical guide to building a modern data foundation with dbt — architecture decisions, migration strategies, and governance that actually works.

Read the dbt Foundation Guide

Ready to build a data foundation you can trust?

Book a discovery call to discuss your data challenges and goals.

Book a Discovery Call
Book a Discovery Call