Databricks
About this role
This is the data platform Databricks runs its own company on, which the posting calls running Databricks on Databricks. The scope is the internal Data Intelligence Platform holding every business and product metric the company uses, spanning logging, orchestration, data transformation, a metric store, governance platforms and consumption layers. Two things make it more interesting than a typical internal analytics job. First, it runs across multiple clouds, geographies and deployment types, so the infrastructure problems are real. Second, the posting says you will balance data protection against shareability as the company transitions to being publicly listed, which is a genuine constraint rather than a talking point. You also give early feedback on Databricks products, since you are an internal customer of them.
Who this is for
The employer asks for 10 or more years of industry experience building and operating large scale distributed systems, plus 4 or more years providing technical leadership on planet scale production data systems, and a BS, MS or PhD in computer science or a related field or equivalent experience.
The day to day: designing and running the cross company Data Intelligence Platform that holds every business and product metric used to run Databricks; developing tooling and infrastructure to manage and run Databricks on Databricks at scale across multiple clouds, geographies and deployment types, including CI and CD processes, test frameworks for pipelines and data quality, and infrastructure as code tooling; building reliable data pipelines using Databricks, partner products and open source tools; partnering with engineering teams on long term vision and requirements for the product; giving early feedback on the design and operation of those products; and representing Databricks at academic and industry events. The posting also mentions using current AI developer tools and techniques as part of the work.
Location is Bengaluru. The posting does not state office days.
Good fit if you are a senior data infrastructure engineer who wants breadth across the whole data stack and does not mind that the customer is internal. Not a fit if you want to build externally facing product.
The day to day: designing and running the cross company Data Intelligence Platform that holds every business and product metric used to run Databricks; developing tooling and infrastructure to manage and run Databricks on Databricks at scale across multiple clouds, geographies and deployment types, including CI and CD processes, test frameworks for pipelines and data quality, and infrastructure as code tooling; building reliable data pipelines using Databricks, partner products and open source tools; partnering with engineering teams on long term vision and requirements for the product; giving early feedback on the design and operation of those products; and representing Databricks at academic and industry events. The posting also mentions using current AI developer tools and techniques as part of the work.
Location is Bengaluru. The posting does not state office days.
Good fit if you are a senior data infrastructure engineer who wants breadth across the whole data stack and does not mind that the customer is internal. Not a fit if you want to build externally facing product.
Apply on company site
Opens databricks.com, the employer's own application page. Applying is always free.