Datafold

Founded in 2020, we are an automation platform for data engineers. We combine AI agents with validation technology to streamline the data engineering process, handling migrations, data reconciliation, and CI/CD testing.

We offer automated data platform migrations, helping teams move existing systems up to 6x faster. We ensure full confidence through our process, which includes planning using column-level lineage, translating SQL dialects or GUI-based transformations, validating data accuracy at the value level, and providing comprehensive reports for stakeholder sign-off.

For automated data quality testing, we aim to prevent bad code deployments by identifying value-level differences between development and production data in CI/CD. We provide automatic summaries on Pull Requests, showing changes and their downstream effects. Our platform also includes a Code Review agent for natural language queries and integrated column-level lineage for impact analysis.

Our data quality monitoring detects and resolves issues with real-time anomaly detection. We use ML models for metrics like row counts and freshness, monitor data tests against business rules, and provide immediate alerts for schema changes. You can create and manage monitors as code using YAML.

We integrate with over 50 popular data tools, including major data warehouses, lakes, and orchestrators. Our platform is used by data teams at companies like Patreon, Thumbtack, Substack, and Angellist. We’ve raised $22M from YC, NEA, and Amplify Partners.

Our mission is to make a positive impact through high-quality work, shared success, and enjoying the journey. We aim to empower data and analytics engineers, believing that good data quality comes from effective data engineering workflows. Our tools integrate into existing processes like CI/CD and IDEs. We focus on addressing data quality issues proactively, before code deployment. We believe a lack of metadata is a significant gap in data engineering, so we provide tools like data diffing and column-level lineage to address it.

Our values revolve around three core principles:

• Make it happen means we:
  • Prioritize contributing to shared success.
  • Communicate intentionally in our asynchronous culture.
  • Act proactively and ship early and often.
  • Seek help when stuck.
  • Value impact over titles.
  • Treat recruitment as a high priority.
• Empower others means we:
  • Create value for our users.
  • Provide context and learning opportunities for our team.
  • Automate roles where possible.
  • Overcommunicate in our remote setting.
  • Default to transparency.
  • Pay it forward.
  • Give feedback early and often, and assume positive intent.
• Own your craft means we:
  • Value quality work and individual growth.
  • Are intolerant of sloppiness.
  • Move fast and learn from mistakes through blameless post-mortems.
  • Prioritize self-care.

We are an all-remote, rapidly growing team spanning various time zones and cultures. We value a proactive approach, aiming to provide tools that help companies unlock their data’s full potential. Our work culture primarily relies on asynchronous interactions, requiring intentional communication and decision-making. We encourage our team to be proactive, biased toward action, and to take extreme ownership. We value impact over job titles and prioritize individual growth and learning. We also emphasize transparency, feedback, and assuming positive intent within our remote, cross-cultural environment.