Build Xanadu’s cloud data platform with Python and SQL, transforming existing pipelines into infrastructure for organization-wide data decisions. As the first dedicated data engineer, you will shape a cohesive platform alongside hardware researchers, data scientists, and finance analysts. You will define data flows across R&D, manufacturing, and business analytics. This hands-on role covers architecture, governance, reliability, and platform development. Key Responsibilities:
Design and maintain cloud ingestion, transformation, and serving infrastructure Own layering, schemas, contracts, materialization, and query performance Consolidate workflows spanning R&D, manufacturing, and business analytics Define queryable scientific and business data models Establish lineage, cataloging, access controls, and quality monitoring Requirements:
Seven-plus years in data engineering Two-plus years in lead or architect capacity Cloud data platform experience built from the ground up Strong Python packaging, testing, CI, and SQL skills Production lake or lakehouse architecture experience Shape Xanadu’s cloud data architecture through Python, SQL, governance, and reliable platforms supporting researchers and analysts.
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Lead Cloud Data Platform Engineer in Toronto employer: Xanadu
Xanadu is an exceptional employer that fosters a culture of innovation and collaboration, where employees are empowered to tackle some of the world's most challenging problems through groundbreaking quantum technology. With a commitment to inclusivity and professional growth, Xanadu offers unique opportunities for career advancement while working remotely or in the vibrant city of Toronto. Join us to be part of a mission-driven team that values your contributions and supports your development in a dynamic and supportive environment.
