The role involves designing, building, and operating foundational data-heavy services including storage, orchestration, and processing systems. The engineer will develop data integration and process SDKs for internal use by product teams. Responsibilities include creating self-service applications that allow users to manage and troubleshoot their own data pipelines. The position requires building services for end-to-end data security and observability, such as access controls and data quality tracking. Additionally, the role entails converting functional requests from various departments into reusable and scalable patterns. The engineer will assemble data microservices into platforms to support critical business verticals.

Candidates must have at least five years of experience in software engineering. Proficiency in Python, Go, or Java backend development is required, along with experience in data systems or pipelines. Applicants should be familiar with design patterns such as scale-out, caching, key/value, and columnar. The role requires the ability to use generative AI tools and copilots responsibly while applying human-in-the-loop practices. No specific degree or professional qualification is mentioned.