Senior Forward Deployed Engineer (L5) – Databricks (Remote, India)
Databricks
Remote (India)
Not Disclosed
Posted on October 23, 2026
Job Overview
About the role
Databricks offers a unified data and AI platform trusted by most Fortune 500 companies. As a Senior Forward Deployed Engineer you will be a hands-on builder embedded with strategic customers, owning complex data and AI projects from design to production.
What you will do
- Lead customer projects that deliver production-grade data pipelines, applications and AI integrations
- Guide large customers through end-to-end big data and AI rollouts and help scope delivery work
- Make the key architecture decisions and keep them aligned with Databricks best practice
- Partner with internal engineering and support to fix engagement issues quickly
- Create accelerators and best practices that scale across accounts and shape the product roadmap
Who can apply
- 9+ years in data engineering, data platforms or software engineering
- Strong coding in Python, Scala or JavaScript/TypeScript and deep Apache Spark experience, including runtime internals
- Expertise in at least one cloud (AWS, Azure or GCP) and working knowledge of another
- Experience with CI/CD, MLOps, technical project delivery and enterprise stakeholders; Databricks certification
Work from home details
The role is listed as Remote - India. Around 20% travel to customer sites is expected.
How to apply
Click Apply Now to apply on the official Databricks careers page. Nishulk4U never charges any fee for job applications.
Databricks offers a unified data and AI platform trusted by most Fortune 500 companies. As a Senior Forward Deployed Engineer you will be a hands-on builder embedded with strategic customers, owning complex data and AI projects from design to production.
What you will do
- Lead customer projects that deliver production-grade data pipelines, applications and AI integrations
- Guide large customers through end-to-end big data and AI rollouts and help scope delivery work
- Make the key architecture decisions and keep them aligned with Databricks best practice
- Partner with internal engineering and support to fix engagement issues quickly
- Create accelerators and best practices that scale across accounts and shape the product roadmap
Who can apply
- 9+ years in data engineering, data platforms or software engineering
- Strong coding in Python, Scala or JavaScript/TypeScript and deep Apache Spark experience, including runtime internals
- Expertise in at least one cloud (AWS, Azure or GCP) and working knowledge of another
- Experience with CI/CD, MLOps, technical project delivery and enterprise stakeholders; Databricks certification
Work from home details
The role is listed as Remote - India. Around 20% travel to customer sites is expected.
How to apply
Click Apply Now to apply on the official Databricks careers page. Nishulk4U never charges any fee for job applications.