Be a subject-matter expert in how we treat Data at scale.
Recommend, design and later lead building the data systems that will help us continue to scale.
Own and develop our Database and overall data strategy and practice.
Be directly involved in decision-making on what we work on, as well as how we work on it.
Create and maintain comprehensive internal documentation and decision records for systems and processes.
Requirements
Hands-on experience designing, developing, and scaling production infrastructure.
Extensive knowledge of Postgres and Postgres-like cloud offerings (AWS, GCP, Azure)
Extensive and recent experience with building low-level data systems and/or managed data platforms.
In-depth knowledge and practical experience of the product and technology space in Database and related fields (Blob, NoSQL, Timeseries, Graph, Vector).
Experience defining requirements and making and justifying technology choices around the data space.
Strong experience in Non-Abstract Systems design and implementation.
Strong proficiency in Golang and in-depth experience with Kubernetes.
Strong communication skills, both written and verbal, with experience in working with a globally distributed team in delivery.