Full-Time

Senior Software Engineer

AI Agents

Confirmed live in the last 24 hours

Datafold

Datafold

11-50 employees

Unified data quality platform for testing

Data & Analytics
Enterprise Software

Senior

Remote in USA

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
JavaScript
SQL
TypeScript
Requirements
  • 5+ years as a software engineer with a strong backend focus.
  • Proficiency in Python is required; experience building with LLMs and/or JavaScript/TypeScript is a plus.
  • Proven ability to manage projects end-to-end, from design through deployment.
Responsibilities
  • Drive the development of DMA, shaping both the technical and architectural foundation for a product that combines AI and data engineering to solve complex migration challenges.
  • Design, develop, and maintain backend systems focused on AI-driven SQL translation and cross-database data comparison.
  • Collaborate with early customers to refine features and iterate toward product-market fit.
  • Make strategic technical decisions to ensure DMA is scalable, robust, and optimized for high-performance data migration.
  • Take ownership of projects end-to-end, troubleshooting and resolving complex challenges in real time to deliver high-quality, impactful results.

Datafold provides a platform that focuses on maintaining high data quality through proactive and automated testing. The platform works by integrating into the development cycle, allowing data teams to test their data at various stages, such as during code deployments and migrations, to catch potential issues before they affect the data warehouse. This approach helps prevent bad code from being deployed and ensures that data remains reliable and accurate. Unlike traditional tools that only detect problems after they occur, Datafold emphasizes prevention and continuous monitoring. The goal of Datafold is to support data teams across different industries by offering tools that enhance data integrity and speed up development processes, all through a subscription-based service.

Company Stage

Series A

Total Funding

$21.7M

Headquarters

San Francisco, California

Founded

2020

Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

-8%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datafold's recent $20M Series A funding round indicates strong investor confidence and provides resources for further innovation and growth.
  • The open-source diffing tool and integration with dbt Labs position Datafold as a leader in data quality and reliability, attracting top-tier clients and talent.
  • The company's commitment to addressing data downtime issues can significantly improve operational efficiency and decision-making for its clients.

What critics are saying

  • The competitive landscape in data reliability and observability is intense, with established players like Monte Carlo posing significant challenges.
  • Rapid scaling and integration of new features may lead to technical debt and potential service disruptions.

What makes Datafold unique

  • Datafold's focus on data reliability and quality, particularly through open-source tools, sets it apart in a market where data downtime is a growing concern.
  • Their integration with dbt Labs allows for seamless regression testing and data validation, enhancing the efficiency of analytics engineers.
  • The launch of a free-tier and transparent cloud pricing model makes Datafold accessible to a broader range of users, from startups to large enterprises.

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