Datafold is a data observability platform that helps Data teams move faster and with higher confidence by automating data quality analysis, monitoring, and common repetitive tasks in data engineering workflow.
If you are not very familiar with the data domain, the nature of their product is similar to APM tools such as Prometheus, Datadog and New Relic: they collect and integrate metadata about their customers data infrastructure, pipelines and datasets and provide valuable insights.
They are looking for an experienced front-end engineer to join their team to build together the definitive product in the data observability space.
By the nature of their product, they have to deal with a wide range of engineering problems ranging from time-series machine learning for metric monitoring and alerting, to source code parsing for data lineage (dependency tracking) to anomaly detection on graph data.
Datafold (инвестиции $22.2M) — платформа для управления контролем качества аналитических данных в средних и крупных компаниях. Datafold дает дата-инженерам удобную и эргономичную среду, многократно повышающую производительность за счет автоматизации рутинной работы. Компания расположена в Сан-Франциско, команда распределена между США и Москвой.
