Lead the architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex. Collaborate with customers to understand business goals, data challenges, and technical requirements. Design and implement data pipelines, establish best practices for data cataloging, and define data security and governance models. Serve as the technical lead, mentoring engineers and ensuring architectural consistency.
Job listings
$200,000–$220,000
USD/year
Looking for Women who work with Analytics Engineering to be the driving force behind a high-visibility project: the migration of our on-premise Data Warehouses to the cloud (Databricks). You will be the bridge between robust data engineering and the creation of analytical value for the business, ensuring that our data is not only well structured, but also ready to generate insights.