Senior Forward Deployed Engineer

Cloud Soft Solutions; Bengaluru; In loco; INR 3.000.000 - 6.000.000; Tempo pieno

Descrizione del lavoro

Databricks in Bengaluru is seeking a Senior Forward Deployed Engineer to design and deliver production data and AI systems for customers on the Databricks platform.

You will own architecture and design decisions, embed with customer teams, and work with engagement managers to deliver secure, scalable solutions. The role involves travel to customer sites around 20% of the time and contributing accelerators for repeatable success.

Mansioni

• Lead customer projects that deliver production systems, including reference architectures, custom applications, data ingestion and ML/AI model integration
• Guide strategic customers through large data and AI programmes from design to deployment
• Make architecture and design decisions that are secure, scalable and in line with Databricks best practice
• Scope technical delivery with engagement managers using customer input, and coordinate with project managers and architects
• Pass product and implementation feedback to Engineering and Support to resolve issues quickly
• Embed with customer teams to understand their challenges and deliver measurable results
• Build accelerators, frameworks and best practices that can be reused across accounts

Descrizione del lavoro

Ameerpet, Hyderabad · Classroom & live online

About the role

Databricks is hiring a Senior Forward Deployed Engineer in Bengaluru to design and deliver production data and AI systems for customers on the Databricks platform. Databricks is a data and AI company whose platform is used by more than 20,000 organisations to build data and AI applications, analytics and agents. Its Forward Deployed Engineers deliver customer projects on that platform as a billable, hands-on function. In this senior role you will own architecture and design decisions and build complete systems that span data engineering, AI and application development. You will work with engagement managers, project managers and customer teams, embed with stakeholders from engineers to executives, and contribute accelerators and feedback that influence the Databricks product. The posting mentions customer travel of around 20%. This listing was verified on the employer's own careers page on 6 October 2026.

Responsibilities

• Lead customer projects that deliver production systems, including reference architectures, custom applications, data ingestion and ML/AI model integration
• Guide strategic customers through large data and AI programmes from design to deployment
• Make architecture and design decisions that are secure, scalable and in line with Databricks best practice
• Scope technical delivery with engagement managers using customer input, and coordinate with project managers and architects
• Pass product and implementation feedback to Engineering and Support to resolve issues quickly
• Embed with customer teams to understand their challenges and deliver measurable results
• Build accelerators, frameworks and best practices that can be reused across accounts

Why this role in 2026

This role covers the full stack of modern data and AI delivery, from Spark pipelines to model integration and user-facing applications, for large enterprise customers. Because the FDE team also contributes reusable assets and product feedback, the work extends beyond individual projects.