Databricks
About this role
This is the only role in today's edition that an employer explicitly lists as remote in India, which matters because several readers have said relocation is what makes or breaks a job for them. Forward Deployed Engineers at Databricks embed with customers and build production systems on the Databricks platform: data pipelines, ML and AI model integration and user facing applications, owning the architecture and the design decisions rather than advising from a distance. It is hands on engineering with customer contact, not pre sales. Two details worth knowing before you apply: the posting says FDEs are billable and deliver projects to specification, and it asks for travel to customers around 20% of the time, so remote does not mean stationary.
Who this is for
The employer asks for 8 or more years in data engineering, data platforms and analytics, or software engineering. Required: comfort writing code in Python, Scala or JavaScript and TypeScript with modern frameworks; working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one; deep experience with distributed computing on Apache Spark including knowledge of Spark runtime internals; familiarity with CI and CD for production deployments; and working knowledge of MLOps, ML and AI models and AI APIs.
Also required: designing and deploying production end to end data architectures that combine data pipelines, ML and AI models and user facing interfaces; technical project delivery experience covering scope, timelines and measurable outcomes; documentation and whiteboarding skills; and experience with enterprise clients including managing conflict across a broad stakeholder range. Databricks certification is listed, and travel to customers is stated at 20% of the time.
The day to day: leading customer technical projects end to end, guiding strategic customers through large data and AI implementations, owning architecture and design decisions for secure and scalable solutions, embedding with customer teams, and feeding product and implementation issues back to Databricks engineering and support.
Location is listed as remote in India. Good fit if you are a strong data or platform engineer who genuinely enjoys customer contact. Not a fit if you want to write code without stakeholder work, or cannot travel.
Also required: designing and deploying production end to end data architectures that combine data pipelines, ML and AI models and user facing interfaces; technical project delivery experience covering scope, timelines and measurable outcomes; documentation and whiteboarding skills; and experience with enterprise clients including managing conflict across a broad stakeholder range. Databricks certification is listed, and travel to customers is stated at 20% of the time.
The day to day: leading customer technical projects end to end, guiding strategic customers through large data and AI implementations, owning architecture and design decisions for secure and scalable solutions, embedding with customer teams, and feeding product and implementation issues back to Databricks engineering and support.
Location is listed as remote in India. Good fit if you are a strong data or platform engineer who genuinely enjoys customer contact. Not a fit if you want to write code without stakeholder work, or cannot travel.
Apply on company site
Opens databricks.com, the employer's own application page. Applying is always free.