Datafold blog · Apr 2026
Datafold announced it joined Databricks’ invitation-only Delivery Provider Program and highlighted fixed-price, guaranteed-timeline migration delivery.
Automating manual and repetitive data engineering tasks with AI
Company research
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Overview
Datafold is a privately held, all-remote data engineering automation company founded in 2020 by Gleb Mezhanskiy and Alex Morozov. Its main platform uses AI-powered migration automation, data diffing, lineage/knowledge-graph context, and monitoring to help data teams modernize pipelines and ship reliable data faster.
Primary product
AI-powered data engineering automation platform
Founded
2020
Headquarters
New York, New York, United States
Team size
11-50 employees
Work style
Remote
Industry
Data Infrastructure and Analytics
Sub-industry
Data engineering automation and data observability
Offices
San Francisco, California, United States
Business model
B2B SaaS
fixed-price outcome-based migration engagements
enterprise software
Funding
Stage
Series A-II
Total raised
$26.7M
Latest round
Series A-II · May 2025
Latest amount
$4M
May 2025 · NEA
Nov 2021 · NEA
Nov 2020 · NEA
Aug 2020
Jan 2020
People & investors
Leadership
Founder & CEO
Chief Technology Officer
Partnerships Lead
Work & culture
All-remote and globally distributed, with an asynchronous, transparent culture that emphasizes impact over titles and extreme ownership.
Work style
Remote
Visa sponsorship
Limited
Compensation
Public job postings show some roles around $110k-$200k base plus 0.10%-0.20% equity, and others around $175k-$245k base plus 0.10%-0.50% equity. At least one posting is US-citizen/visa only, so sponsorship appears role-dependent rather than broadly advertised.
Benefits
company equity
health insurance
vision insurance
401(k)
life insurance
generous PTO
parental leave
remote work program
family and childcare benefits
Product & market
Pricing
Fixed-price, outcome-based enterprise migration engagements; not hourly.
Differentiators
- —AI-powered migration agents that automate code translation and refactoring
- —Data Knowledge Graph context layer for lineage, semantics, and org knowledge
- —Value-level cross-database Data Diff validation for parity checks
- —Fixed price and guaranteed timeline for migration outcomes
- —Private-cloud/VPC deployment with governed LLM inference and security/compliance positioning
Technology
python
redis
dbt
sap hana
gitlab
openai
synapse
github actions
sqlalchemy
docker
azure databricks
databricks
saml
azure data factory
sql
neo4j
github
celery
clickhouse
snowflake
Customers
Patreon
Thumbtack
Substack
AngelList
CHG Healthcare
Faire
Eventbrite
Rocket Money
Truebill
Dutchie
Nutrafol
Healthy Directions
Competitors
Validio
Secoda
Twirl
Metaplane
Anomalo
Monte Carlo
Bigeye
Informatica
dbt Labs
DataKitchen
Scale & contact
Estimated revenue
USD 1M–10M (some public profiles estimate about USD 4.5M annual revenue)
Estimated monthly visits
1.3K
Traffic estimate as of May 2026
Latest news
Datafold blog · Sep 2025
Datafold launched a rebuilt Migration Agent 2.0 with graph-based architecture, broader lifecycle automation, and stronger validation.
Datafold blog · May 2025
Datafold expanded Migration Agent support to major ETL tools such as Informatica, Talend, IBM DataStage, SSIS, Matillion, and Alteryx.
Datafold blog · Apr 2025
Datafold announced Google Cloud Ready - BigQuery designation and emphasized validated integration for BigQuery migrations.
Datafold blog · Oct 2024
Datafold introduced its AI-powered Migration Agent, describing end-to-end translation and validation that cuts migration timelines from months or years to weeks.
Jobs and careers at Datafold
0 jobs at Datafold
No open positions
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