Sr. Forward Deployed Engineer
Databricks3 months 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 backend, frontend, and integration applications using the Databricks platform.
- 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 from technical individual contributors to executives.
- Collaborate with Sales, Product, and Field Engineering across pre-sales and post-deployment.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform 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.
- Experience designing, building, and deploying production applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Familiarity integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications.
- Proven experience delivering technical solutions in enterprise environments with measurable outcomes.
- Ability to communicate complex technical concepts to stakeholders ranging from engineers to C-level executives.
- Curiosity, adaptability, and willingness to learn new technologies, domains, and customer challenges.
Benefits
- Comprehensive benefits and perks, with region-specific details available.
- Global office presence; specific work arrangement is not stated.
Tech Stack
Categories
Forward DeployedFull Stack
About Databricks
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.