OMNI RAISES $120M SERIES C $1.5B VALUATION - APRIL 2026 CO-FOUNDER CHRIS MERRICK WROTE dbt'S FIRST LINES OF CODE PRINCETON PHYSICS GRAD TURNED DATA UNICORN BUILDER OMNI: 4X REVENUE GROWTH YOY ICONIQ LED ROUND WITH THEORY, FIRST ROUND, REDPOINT, GV SINGER + dbt OPEN SOURCE PIONEER OMNI RAISES $120M SERIES C $1.5B VALUATION - APRIL 2026 CO-FOUNDER CHRIS MERRICK WROTE dbt'S FIRST LINES OF CODE PRINCETON PHYSICS GRAD TURNED DATA UNICORN BUILDER OMNI: 4X REVENUE GROWTH YOY ICONIQ LED ROUND WITH THEORY, FIRST ROUND, REDPOINT, GV SINGER + dbt OPEN SOURCE PIONEER

Philadelphia  |  Co-Founder & CTO

Chris
Merrick

Omni  —  AI Analytics  —  Open Source Pioneer

The engineer who wrote dbt's first lines of code now runs a $1.5B analytics company. The data stack he helped build got its own investor.

$1.5B Omni Valuation
$120M Series C 2026
4x Revenue Growth YoY
Co-Founder & CTO Chris Merrick, Co-Founder and CTO of Omni

Chris Merrick — Philadelphia, PA


The Quiet Architect of the Modern Data Stack

Before anyone called it a "modern data stack," Chris Merrick was writing it. Literally. In 2016, while VP of Engineering at RJMetrics - a Philadelphia data startup that would punch far above its weight - Merrick wrote the first lines of code for a transformation tool his team called dbt. Today, dbt is an industry standard used by thousands of data teams worldwide, stewarded by a separate company (dbt Labs) worth hundreds of millions. Merrick never ran that company. He moved on. That's not a footnote; it's a character study.

Around the same time, he co-created Singer, an open-source standard for writing ETL scripts that became equally foundational to how data pipelines are built. Two standards in one company, before AI existed as a useful concept in enterprise software. Then Merrick watched as RJMetrics spun out its data pipeline product into a standalone company called Stitch - and he became its CTO, steering it through its 2018 acquisition by Talend for an undisclosed sum. He stayed through the acquisition, VP of Engineering at Talend, until the moment he didn't need to anymore.

That moment was 2022. He called two people he'd known since college: Colin Zima and Jamie Davidson. Colin and Jamie had spent the previous years at Looker and then Google after Google's $2.6B acquisition. Between the three of them, they had lived every frustration in business intelligence from every possible angle - the data infrastructure side, the BI platform side, the enterprise customer side. They had enough accumulated knowledge to know exactly where everything broke down. And they built Omni to fix it.

"Just-in-time data modeling means building your data model as you do analysis. You're just trying to move as fast as your business is - and data modeling should meet you."

- Chris Merrick, Omni Blog (2024)

Omni's proposition isn't subtle: stop choosing between speed and governance. Every prior BI tool made companies choose - either lock everything down in a rigid data model and wait three weeks for a new dashboard, or move fast with ad-hoc SQL and eventually lose trust in your own numbers. Merrick's technical thesis at Omni is that this tradeoff is a false one. A good platform should be able to maintain a governed semantic layer while still letting an analyst rip open a SQL editor and explore freely. Build both, wire them together, and let AI fill the gaps.

In April 2026, the market gave its verdict. Omni closed a $120M Series C led by ICONIQ at a $1.5B valuation - unicorn territory, with 4x year-over-year revenue growth and customers including BambooHR, Perplexity, Writer, and BuzzFeed. Total funding crossed $188M. Not bad for three college friends who reunited to fix the thing they'd all spent careers watching get broken.

$188M Total Funding Raised
200+ Enterprise Customers
16+ Years in Data Engineering
6 Global Omni Hubs

He Built the Tools Everyone Uses. Then Built Something New.

The Foundations Merrick Left Behind

Before founding Omni, Merrick shaped the modern data stack through two open-source projects that became industry standards. He didn't just use them - he created them, at RJMetrics in Philadelphia, years before most companies understood why they'd need them.

dbt (data build tool)

Merrick wrote the first lines of code for dbt in 2016 while at RJMetrics. The tool became the standard for data transformation workflows, now stewarded by dbt Labs and used by thousands of engineering teams globally. The analytics engineering discipline it created is now a distinct career path.

Singer

Co-created at RJMetrics, Singer is an open-source standard for writing scripts that move data between any source and destination. It made ETL pipelines composable and interoperable - a framework that remains in active use across the data ecosystem years later.

The Principle of the Intentional Limit

There's a pattern in how Merrick thinks about building software. When Stitch launched, critics pointed out that it didn't do arbitrary data transformations - a feature most ETL tools offered. Merrick's response was direct: "We do transformations, just not arbitrary transformations, and that's intentional."

His argument: raw data is the foundation of a robust infrastructure. Adding transformations on top in layers - rather than at the ingestion step - preserves an audit trail, maintains flexibility, and prevents the kind of silent data corruption that only surfaces months later in a board meeting when a VP Finance questions a revenue figure. It's not a limitation. It's a philosophy.

That same instinct drives Omni's architecture. The platform doesn't ask companies to choose a single paradigm. A data engineer can write a governed semantic model in YAML. An analyst can ignore it entirely and write raw SQL. A business user can point-and-click through a dashboard. An AI agent can answer natural language questions against the governed layer. All of these access patterns coexist. The constraint - the thing Merrick insists on - is that they all share the same source of truth.

He called this "just-in-time data modeling" in a 2024 blog post that resonated across the data community: the idea that you should build your data model as you do your analysis, not as a massive upfront investment before anyone can look at the data. Move as fast as your business. Let the model evolve with the questions being asked. Formalize later, when you know which questions actually matter.

It's a principled stance from someone who has watched data teams fail from every angle - as the infrastructure engineer, the BI platform builder, and now the product founder.

"We do transformations, just not arbitrary transformations, and that's intentional."

- Chris Merrick on Stitch's design philosophy

Technology Stack at Omni

TypeScript React Remix Anthropic Claude dbt Amazon AWS MySQL Kotlin Looker Snowflake BigQuery Slack Git

Omni's Mission

Governed answers from trusted data. For every user. In seconds. Without the tradeoff.

Omni's
$120M Series C
April 2026
$1.5B Valuation

Led by ICONIQ with participation from Theory Ventures, First Round Capital, Redpoint Ventures, and GV. The round included a $30M employee tender offer. Omni's total funding reached $188M, underpinned by 4x year-over-year revenue growth and customers like BambooHR, Perplexity, and BuzzFeed.

From Princeton Physics to $1.5B Unicorn

~2009

Princeton University. Graduates with a degree in Physics. Moves to Philadelphia shortly after - and stays for 15+ years.

2010

Joins RJMetrics early in the company's life as VP of Engineering. The Philly startup is building analytics tools for e-commerce companies. Merrick arrives near the beginning.

2016

Writes the first lines of dbt. While at RJMetrics, Merrick creates what becomes the data build tool - now one of the most widely adopted tools in modern data engineering. Co-creates Singer, the open-source ETL standard, in the same period.

2016-2018

CTO at Stitch, the data pipeline product spun out of RJMetrics as a standalone company. Merrick leads engineering through the product's growth and market positioning.

2018

Talend acquires Stitch. Merrick stays on as VP of Engineering at Talend, continuing to lead data infrastructure teams through the integration and beyond.

2022

Co-founds Omni with college friends Colin Zima and Jamie Davidson. The three launch with a $27M Series A. Merrick takes on the CTO role, responsible for product architecture and engineering.

2024

Omni raises $20M from Theory Ventures. Merrick publishes "The Case for Just-In-Time Data Modeling" - an influential piece reshaping how data teams think about when and how to build data models.

2025

Omni reaches $650M valuation. 8x year-over-year growth in customer usage. Over 200 companies on the platform.

2026

$120M Series C at $1.5B valuation led by ICONIQ. 4x revenue growth. The AI analytics platform for the enterprise is no longer a pitch. It's a product with a unicorn price tag.

What Makes Merrick Tick

Origin Story

Physics Major. Data Engineer. Accidental Standard-Setter.

A Princeton physics degree trains you to decompose complexity into first principles. It turns out that's exactly the right mental model for data architecture - where the real problem is usually not the computation but the question of what you're actually trying to measure. Merrick brought that lens to every system he built.

Working Style

Principled About Constraints. Evangelical About Trade-offs.

His 2016 blog post defending Stitch's decision not to support arbitrary transformations is a masterclass in clear technical reasoning. He doesn't dismiss the objection - "This is a reasonable question" - then dismantles it methodically. He recommends competing tools. He says "It's not for everyone." That kind of intellectual honesty is not common in startup founders.

What He's Building For

Gets Excited About Making Data Easy to Understand.

His own words: he "gets excited about making data easy to understand, and loves the creativity of solving open-ended data problems." Fifteen years in, that hasn't changed. The tools have changed. The scale has changed. The core motivation hasn't moved an inch.

Merrick on Data, Speed, and Trade-offs

"That promise is outdated and it misses the reality of analytics engineering today. You're just trying to move as fast as your business is - and data modeling should meet you."

The Case for Just-In-Time Data Modeling, Omni Blog (May 2024)

"With raw data, you have the foundation of a robust data infrastructure - and an audit trail to figure out how a non-nullable field became null."

Why Our ETL Tool Doesn't Do Transformations, Medium

"We advocate adding transformations on top of raw data in layers."

Stitch engineering philosophy

"Why don't you start by exploring your data with our visual interface, and it'll start building a data model based on your analysis?"

On Omni's approach to automated modeling

"We do transformations, just not arbitrary transformations, and that's intentional."

Defending Stitch's design decisions

Things Worth Knowing

Geography

Philadelphia HQ in a San Francisco Company

Omni lists San Francisco as its headquarters. Merrick lives and works in Philadelphia. The company runs distributed teams across six cities: San Francisco, Santa Cruz, Philadelphia, Toronto, Dublin, and Sydney. Remote-first before it was a talking point.

Reunion Startup

Three College Friends. One $1.5B Outcome.

Merrick, Colin Zima, and Jamie Davidson met in college, went separate ways for 15+ years into different corners of the data industry, then deliberately reunited to build something together. Reunion startups are rare. Reunion unicorns are rarer. The shared context that comes from knowing someone for two decades turns out to be a real competitive advantage.

The RJMetrics Mafia

One Philly Startup. Multiple Industry Foundations.

RJMetrics spawned dbt, Singer, Stitch (acquired by Talend), and Omni. Not all from Merrick alone - but he was in the room for most of it. The Philly data startup world is small, interconnected, and punching well above its weight. Merrick is one of the threads running through all of it.

Follow Chris Merrick

Chris Merrick — Co-Founder & CTO, Omni