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Datafold seeks senior engineer to build AI-powered database migration tool
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Datafold is expanding its AI capabilities with a new role focused on developing their Migration Agent, a tool that automates database migrations using LLMs and proprietary diffing technology. This position represents a growing trend of startups applying AI to specialized data engineering problems, potentially disrupting traditional migration processes that typically require extensive manual work and specialized consultants.

The opportunity: Datafold is hiring a senior software engineer to lead development of their AI-powered data migration tool that promises to reduce migration timelines by 5-10x.

  • The role focuses on building the Datafold Migration Agent (DMA), which combines large language models with data diffing technology to automate SQL dialect translation and data reconciliation.
  • The successful candidate will design backend systems, collaborate with early customers, and make strategic technical decisions to ensure the product scales effectively.

Company context: Datafold is a Series A startup focused on data quality and observability tools for data engineers.

  • Founded in 2020, the company has raised $22M from prominent investors including Y Combinator, NEA, and Amplify Partners.
  • The 24-person team serves clients like Disney, FanDuel, Perplexity, Patreon, and Thumbtack while operating fully remote across the US and EU.

Technical requirements: The position requires significant backend engineering experience and specific technical capabilities.

  • Candidates need 5+ years of software engineering experience with strong backend skills, with Python proficiency being mandatory.
  • Experience building with large language models and JavaScript/TypeScript knowledge are considered advantages but not requirements.

Strategic focus: Datafold’s core philosophy centers on preventing data quality issues before they reach production environments.

  • The company believes data quality results from effective engineering workflows rather than reactive testing.
  • Their approach emphasizes addressing quality issues during the development phase and leveraging metadata to improve data engineering processes.
Senior Software Engineer - AI Agents at Datafold

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