Datafold
datafold.com
Actively hiring
Data Observability
Data Quality & Observability
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$24M
2 rounds on record
Latest round
$4M
Venture round · May 2025 · 17 mo ago
Team
9
US Form 5500 (plan participants) · Dec 2025 · -31% in a year
Hiring now
5
+2 posted in 30 days
Backers
4
Y Combinator, Amplifypartners
The money's age
Due for its next round
17 months since the last round · and hiring
Momentum
16/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
May 13, 2025
Raised a round Venture round $4M · SEC Form D
Apr 24, 2023
Launched on Hacker News Show HN: Audit dbt models as you code
Jun 22, 2022
Launched Datafold launches open-source diffing tool to execute data validation checks · Venturebeat
Nov 9, 2021
Raised a round Series A $20M
Jun 2020
Went through Y Combinator
2020
Founded
Tractionpublic signals, read monthly
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | May 2025 | $4M | — | SEC Form D |
| Series A | Nov 2021 | $20M | — | businesswire.com |
Registers and programsofficial lists and records that name the company
| Legal entity | Datafold, Inc. | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Gleb MezhanskiyExecutive Officer, DirectorSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator 
Amplifypartners 
NEA 
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Overview
Datafold catches data quality regressions before they ship by comparing datasets across code changes and migrations. Founded in 2020 in San Francisco, it added artificial intelligence agents that translate legacy SQL between warehouse dialects. Data teams use it as a test suite for analytics and feature pipelines.
News
The Modern Data Stack: Open-source edition
50+ open-source data tools compared across ingestion, storage, compute, orchestration, streaming, and BI. Updated April 2026 with live GitHub stats and comparison tables.
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Report
Data Development Testing - Datafold
Use data diff directly in your development workflow with open source data-diff and the Datafold VS Code extension
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Report
Shifting Data Quality to the Left: A Four-Level Framework
Software testing has been a fundamental component of the software development life cycle (SDLC) for the last 40 years. Though the frameworks and methodologies for software testing have changed dramatically in the last four decades, the approach to data qu
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Report
Datafold and Hightouch Integrate to Make Activated Data More Reliable
The Datafold integration ensures that whenever an upstream data model is modified, the data engineer is alerted to the impact to any Hightouch sync.
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Report
The day you stopped breaking your data
A guide on how to build data systems that do not break.
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Report
Datafold launches open-source diffing tool to execute data validation checks
New York-based Datafold has launched an open-source diffing tool to help enterprises perform validation checks during data loading.
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Report
Datafold and dbt Labs Partner to Deliver Trusted Data Faster
Datafold, a data quality platform that automates the most tedious parts of data engineering workflows, is partnering with dbt Labs, the pioneer in analytics engineering, to provide a new integration to deliver trusted data faster. Datafold has automated t
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Report
Data reliability platform Datafold raises $20M
Datafold, a startup that automates workflows related to maintaining data quality, today announced it has raised $20 million series A funding.
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Report
Datafold raises $20M for data reliability engineering TechTarget
Gleb Mezhanskiy, founder and CEO of Datafold, explains why the data startup is raising money and what data reliability engineering is.
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Show more news
Tech stack
Technologies named in job postings at Datafold over the last 12 months, by layer, with the share of postings for each.
Technologies in use
7
Postings analysed
5
Stack modernity
73/100
Languages
SQL
Python
Databases
Snowflake
Cloud & platforms
Databricks
GCP
Developer tools
dbt
Practices & domains
ETL/ELT
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Salary insights
Compensation ranges based on this company's open jobs
Median
$151k
Typical range
$90k – $200k
Open positions
3
3
Jobs
Middle
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 3 | $151k | $90k – $200k |
Highest paying role
Forward Deployed Data Engineer - US
$200k
Normalized to USD per year
People
Gleb Mezhanskiy
Executive Officer, Director
Peter Sonsini
Director
Aaron Jacobson
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
78/100
Scaling fast
Open positions
5
2 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
75% ▲
Sales
25% ▲
Activity Timeline
Added GCP to stack
Oct 2026
Added SQL to stack
Oct 2026
Added Python to stack
Oct 2026
Added ETL/ELT to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
San Francisco
United States
HQ
50-200 est. staff
Jobs
≈ $73k – $161k per year (Estimated) • Remote (United States) • Full-Time • 2+ years exp • Master's Degree
Python
SQL
Apply
$65k – $90k per year • Remote (LATAM) • Full-Time • 3+ years exp
Snowflake
Databricks
AI/ML
dbt
Analytics
ETL/ELT
Apply
$155k – $200k per year • Remote (United States) • Full-Time • 3+ years exp
Snowflake
Databricks
AI/ML
dbt
Analytics
ETL/ELT
Apply
$96k – $152k per year • Remote (EU) • Full-Time • 3+ years exp
Snowflake
Databricks
AI/ML
dbt
Analytics
ETL/ELT
Apply