Databricks

Sr. Forward Deployed Engineer

Databricks
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15 hours ago
Singapore, SingaporeSenior

Responsibilities

  • Own architecture and design decisions for secure, scalable customer solutions aligned with customer needs and Databricks best practices.
  • Design and develop applications spanning backend, frontend, systems integration, data engineering, and AI.
  • Deliver production-grade systems from data ingestion and transformation through ML/AI model integration and user-facing applications.
  • Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
  • Partner with Sales, Product, and Field Engineering across pre-sales and post-deployment delivery.
  • Create reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.

Requirements

  • Strong software engineering background across backend, frontend, and systems integration.
  • Proficiency in Python, SQL, Java or Scala, JavaScript or TypeScript, and modern frameworks.
  • Demonstrated ability to design, build, and deploy production applications combining data pipelines, ML/AI models, and user-facing interfaces.
  • Familiarity integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications and using AI code-generation tools.
  • Experience delivering technical solutions in enterprise environments with measurable outcomes.
  • Ability to communicate complex concepts and collaborate with stakeholders ranging from engineers to C-level executives.
  • Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

Benefits

  • Comprehensive benefits and perks are offered, with specific details available by region.

Tech Stack

Categories

Forward Deployed
Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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