The role involves designing, building, and maintaining scalable data solutions on the Google Cloud Platform. The professional will lead a greenfield migration from on-premise systems to the cloud by creating data architecture and models from scratch. Responsibilities include balancing hands-on engineering tasks with architectural planning and collaborating closely with business stakeholders. The individual will take ownership of data quality, system performance, and cost efficiency. Additionally, the role requires shaping standards, best practices, and the long-term direction of the data platform in a cloud-native environment.

Candidates must possess at least five years of experience as a Data Engineer, including time spent in a lead or senior capacity. Strong proficiency in the Google Cloud Platform ecosystem is mandatory, specifically regarding data pipelines, orchestration, and security fundamentals. Applicants are required to have advanced Python skills and experience with data modeling and multilayered architectures. The role also necessitates practical experience in data quality, CI/CD tools, and technical documentation, alongside strong communication abilities for cross-team collaboration.