Matei Zaharia Creator of Apache Spark; co-founder and CTO of Databricks; Berkeley computer science professor Founder · Capital · $1–10B cost 3 headwinds 2

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Founder · Capital · Software · Artificial Intelligence · Technology · $1–10B

Matei Zaharia

Creator of Apache Spark; co-founder and CTO of Databricks; Berkeley computer science professor · Romania → Canada → United States

class not establishedhousehold not establishedToronto, Canada

Databricks

Cost of failure 3 / 10

soft landingnothing to catch a fall

Headwinds 2 / 10

clear runagainst the current

Two calls made by hand, not formulas. how we score →

Summary

Zaharia was born in Romania and, per Romanian press, finished high school in Toronto before studying at Waterloo.

He started Spark as a Berkeley PhD student, then co-founded Databricks with six lab colleagues in 2013. Forbes puts him at $7 billion, almost all of it an estimate of a private stake. His family background is not established.

Coded record

industrySoftware · Artificial Intelligence · Technology

talentexceptional

connectionswell-connected

outcome size$1–10B · band 5

path typeFounder · Capital

childhood householdtwo-parent

immigrant generation1.5-gen

educationgraduate degree

credential fundingnone

startup capitalangel

took outside investmentyes

kept ownershipyes

public scrutinynone

ⓘ Hover any row for its definition.

Profiled colleagues

People in this set who share a company with Matei Zaharia.

Subject cooperation: public-only · last reviewed 2026-10-22

Where they worked

Databricks Co-founder and CTO · 2013–now founder still there

How it happened

iRomania to Toronto

Wikipedia calls him Romanian-Canadian and gives his birth year as 1984 or 1985, with no birthplace. A Romanian outlet, Evenimentul Zilei, says he was born in Romania and later moved to Canada with his family, without saying when, and that he went to Jarvis Collegiate Institute in Toronto, where he won silver medals at informatics olympiads. A web search summary described the move as happening in childhood, but the article itself does not say that, so the age at arrival is not established. Forbes lists his citizenship as United States. Nothing opened for this review says what his parents did.

iiWaterloo

He studied at the University of Waterloo, where, per Wikipedia, his programming-contest team won gold at the ICPC and placed fourth worldwide in 2005. Forbes lists a bachelor's from Waterloo. How the degree was paid for is not established.

iiiBerkeley and Spark

He did his PhD at UC Berkeley under Ion Stoica and Scott Shenker, per Wikipedia, finishing in 2013. Spark began in 2009 in Berkeley's AMPLab as a faster alternative to MapReduce, and Forbes says he started it as a PhD student at 24. His thesis won the 2014 ACM Doctoral Dissertation Award. Who funded the PhD is not established.

ivDatabricks

Turning point

He co-founded Databricks in 2013 with six Berkeley collaborators, including Stoica and Ali Ghodsi, and the product is built on Spark. His thesis is dated 2013 as well, and the software the company was built to sell was already his own work. He is CTO, per Berkeley and Forbes. What he put in at the start, and what share of the company he holds, is not established.

vProfessor and open source

Wikipedia says he joined MIT's faculty in 2015, moved to Stanford in 2016, and became an associate professor at Berkeley in 2023. His Berkeley page lists him there now, working in the Sky Lab, and says he helped develop MLflow and Delta Lake at Databricks. It also lists the DSPy framework and the GEPA prompt optimizer among recent projects, without stating his part in each. He won the 2025 ACM Prize in Computing, per Wikipedia.

viWhere it landed

On October 22, 2026 Forbes showed $7 billion, rank 574, age 41, residence Berkeley, self-made score 8, and said private investors valued Databricks at $190 billion in August. That is an estimate of a private stake and the size of his holding is not given. Romania Insider reported a $5 billion Forbes figure for him earlier in 2026, so the number moves with the valuation.

viiLegal record

No litigation or regulatory action involving him or Databricks turned up in the pages opened. That is the absence of reporting in summary sources and not a clearance.

Can you replicate their success?

Partly

The academic part, a strong programmer getting into a top PhD program and producing widely used systems software, is a route that still exists. The company step needed a lab that was already producing the software, a group of co-authors ready to start a firm, and investors willing to fund open source. Those conditions sit in a few research universities. His family circumstances and how his schooling was funded are not documented, so how much a safety net mattered is unknown.

Required conditions

1 Research ability at the level of a leading systems lab

2 A PhD seat in a lab where the software gets written and adopted

3 Co-founders from the same group

4 Venture investors willing to fund an open-source company

5 A route into US graduate study

The coded evidence

Thirteen groups, every claim sourced

Feeds cost of failure

Parent Occupations

Low

not established

Not established in sources opened. The household value in the coded block is a placeholder because the enum has no unknown option.

↗ en.wikipedia.org

Parent Education

Low

not established

Not established.

↗ en.wikipedia.org

Structural context

founder lens · venture capital

The cost-of-failure score comes from this person's own money and circumstances. But who they were in America carried its own weight, the same way their household or income did, and it shaped how hard the path was just as much. That part isn't in the cost-of-failure number. It's here instead.

tailwindman

Men founded the companies that took nearly all the venture funding and almost every top outcome, a tailwind that never shows up in one person's own circumstances.

↗ techcrunch.com

mixedimmigrant background

Immigrants and their children are overrepresented among America's biggest companies, as founders and as senior leaders. They got there through the visa, credential, and network hurdles that make the path harder to even start down.

↗ forbes.com

Among the people recorded here — men: 225. Representation here is who reached these outcomes, not equal odds of reaching them.