Senior forward deployed engineer at Databricks in Bengaluru: hands-on delivery of production data and AI systems inside strategic customer projects.

This Bengaluru role was posted on 21 August 2026. Forward deployed engineers at Databricks lead customer technical projects end to end: production solution delivery, architecture ownership and customer enablement on transformational big-data programs. The listing asks for deep Apache Spark experience including runtime internals, two or more cloud ecosystems, and comfort coding in Python, Scala or JavaScript/TypeScript.

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

You lead impactful customer projects: delivering production-grade systems, guiding architecture and design, bootstrapping or implementing customer programs, and working with Databricks architects, project managers and customer teams. The listing names distributed computing with Apache Spark and Spark runtime internals, MLOps and ML/AI models and APIs, and technical project delivery with scope, timelines and 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 MLOps, ML/AI models and AI APIs
Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
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 deployment
Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.

Who this role suits

Senior engineers who like being embedded with customers: deep Spark is the hard requirement, plus production delivery instincts and consulting-grade communication. Strong fit for data platform architects wanting product-adjacent customer work. Not for engineers who want heads-down feature work on one codebase.

Practical notes

Prepare a customer-facing delivery story with measurable outcomes, and be ready on Spark internals - the listing says 'runtime internals' explicitly. Coding in Python or Scala will be tested. Bengaluru location; the FDE role involves customer sites, so expect travel questions.

How to apply

Apply directly on the employer's site: Senior Forward Deployed Engineer at Databricks. We found this listing on the Greenhouse public job board (job-boards.greenhouse.io), where it was posted on 21 Aug 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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