Aviato is an essential tool for anyone looking to source, qualify, and engage the most promising startups at their earliest stage. With a robust dataset derived using proprietary methods, Aviato delivers actionable insights and tools that allow you or your team to uncover previously unseen founders and companies. Aviato‘s strength lies in its ability to refresh data on a near-daily basis, ensuring that what you see is truly the latest information available.

You’ll be charged with leading the maintenance and iteration on the Aviato platform’s data pipelines. Aviato’s data infrastructure is at the core of everything we do. It aggregates, analyses and transforms hundreds of millions of individual data points from dozens of sources- all day, every day. The scale and comprehensiveness of our data introduces unique problems related to things like entity linking and deduplication. You’ll work to solve these problems and more, in close collaboration with our data ingestion and backend teams. You’ll have a strong impact on the roadmap and trajectory of the company.

Responsibilities:

• You’ll define and improve upon the data infrastructure to make key data readily available to the organization
• You’ll work in close collaboration with your team members and the company’s advisors in order to implement best practices across our data pipeline
• You’ll uphold reliability and efficiency standards across the data stack

Ideal Skills:

• You’ve spent 2+ years building data infrastructure to support key product features
• You have experience building cloud-optimized solutions utilizing tools like S3, Postgres, and DynamoDB.