Skip to content
Databricks logo

Senior Forward Deployed Engineer

DatabricksData Lakehouse company
Bangalore, IndiaSenior
Andreessen Horowitz logo
Andreessen Horowitz
New Enterprise Associates logo
New Enterprise Associates
Morgan Stanley
T. Rowe Price logo
T. Rowe Price
NVIDIA logo
NVIDIA
CapitalG logo
CapitalG
Data & AI

About the role

TL;DR

Build and productionize data & AI solutions using the Databricks platform for customers.

  • As a Senior Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform.
  • You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
  • Key Responsibilities 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.
  • 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.
  • Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
  • Requirements 6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • 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.
  • Working knowledge of MLOps, ML/AI models and AI APIs.
View original posting →

Required skills

PythonScalaJavaScriptTypeScriptAWSAzureGoogle CloudSparkCI/CDDatabricks

Domain expertise

ai

Tech stack

PythonScalaJavaScriptTypeScriptAWSAzureGoogle CloudSparkCI/CDDatabricks

Similar jobs

Databricks logo

Solutions Architect - Communications, Media, Entertainment and Games

C

Data Developer Mid level

E

Applied AI Engineer