Senior forward deployed engineer (L5) at Databricks, remote from India: the L5 variant of its customer-embedded engineering role - production data and AI delivery plus end-to-end data architecture design.

This remote India role was posted on 19 October 2026 - the most recent of Databricks' forward deployed engineer listings in India. Beyond the core FDE brief (production solution delivery, architecture ownership, customer enablement), this listing adds design and deployment of performant end-to-end data architectures and applications combining pipelines and AI. Requirements mirror the senior bar: deep Spark including runtime internals, multiple clouds, MLOps and AI APIs.

About Databricks

Databricks is the Data and AI company: its lakehouse platform unifies data engineering, analytics and machine learning, and per its listings more than 20,000 organizations - including adidas, AT&T, Bayer, Block, Mastercard, Rivian and Unilever, and 70% of the Fortune 500 - build on it. Learn more on Databricks' website.

The role in plain terms

Same core mission as the Bengaluru FDE seat - lead customer technical projects to production - with explicit emphasis on designing and deploying performant end-to-end data architectures and applications. The listing names distributed computing with Apache Spark and runtime internals, two or more cloud ecosystems, CI/CD for production, and technical project delivery with measurable outcomes.

What you will do

Per the employer's listing, you will:

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, and data ingestion and ML/AI model integration
Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
Familiarity with CI/CD for production deployments
Working knowledge of MLOps, ML/AI models and AI APIs
Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.

Who this role suits

The same profile as the Bengaluru FDE role - deep Spark, multiple clouds, delivery leadership - for engineers who prefer remote. L5 maps to senior. Not for engineers without substantial Spark-in-production depth.

Practical notes

Posted 19 October and remote from India - it will move quickly. Prepare the same material as the Bengaluru FDE seat: a delivery story with outcomes, Spark internals, and Python or Scala coding. Confirm travel expectations for customer engagements on the employer's page.

How to apply

Apply directly on the employer's site: Senior Forward Deployed Engineer (L5) at Databricks. We found this listing on the Greenhouse public job board (job-boards.greenhouse.io), where it was posted on 19 Oct 2026 and was still open when we checked on 31 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.