Description
We are seeking a Staff Software Engineer to join our Data Platform team. As a Staff Software Engineer, you will help build the Data Intelligence Platform for Databricks, allowing us to automate decision-making across the entire company. You will collaborate with Databricks Product Teams, Data Science, Applied AI, and other teams to develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers. You will use the latest Databricks product and other tools in the data ecosystem to design and run the Databricks metrics store, cross-company Data Intelligence Platform, and tooling and infrastructure to efficiently manage and run Databricks at scale.
The impact you will have includes designing and running the Databricks metrics store, cross-company Data Intelligence Platform, and developing tooling and infrastructure to efficiently manage and run Databricks at scale. You will also design the base ETL framework used by all pipelines developed at the company, partner with engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product, and establish conventions and create new APIs for telemetry, debug, feature, and audit event log data.
To be successful in this role, you will need 12+ years of industry experience, 4+ years of experience building large-scale distributed systems, and 5+ years of providing technical leadership on large projects similar to the ones described above. You will also need experience with ETL frameworks, metrics stores, infrastructure management, data security, and experience building, shipping, and operating reliable multi-geo data pipelines at scale.