The role involves leading a team of engineers to solve complex data problems and deliver scalable data pipelines. The individual will oversee the development lifecycle of data initiatives, ensuring reliability and efficiency while managing service level agreements for critical applications. Collaboration with product managers and cross-functional teams is essential to create trustworthy canonical datasets and data warehouses. The position requires leveraging AI and agent-based technologies to analyze data on ambiguous problems. Additionally, the role focuses on fostering an inclusive environment that promotes knowledge sharing and continuous improvement.

The role requires at least 10 years of engineering experience, including 5 years of hands-on experience building and operating data systems, pipelines, and datasets while leading small teams. Candidates must possess a strong engineering background with proficiency in backend development languages such as Scala, Java, or Go, alongside strong SQL skills. Experience in writing and debugging data pipelines using distributed frameworks is necessary. The position also demands effective cross-functional collaboration, customer focus, and the ability to work autonomously in ambiguous environments.