The role involves designing, developing, and owning data pipelines, models, and products that support various internal business functions. The individual will manage service level agreements for data pipelines and full-stack web applications. Responsibilities include building and refining infrastructure and tools to enable data-driven decision-making across the organization. The position requires leveraging large language models and agents to generate high-quality data for complex problems. Additionally, the role entails building data services to track product metrics and refining data marts to assist with business forecasting and performance measurement.

Candidates must possess at least six years of experience in software engineering with a focus on data services or data-intensive applications. Proficiency in a backend language such as Scala, Java, or Go is required, alongside strong SQL capabilities. Applicants must have prior experience writing and debugging data pipelines using distributed frameworks like Spark, Hadoop, or Pig. The role requires the ability to communicate cross-functionally to derive requirements and architect shared datasets. No specific degree or professional qualification is explicitly mentioned as a requirement.