Sr. Forward Deployed Engineer
About this role
Embedding directly with strategic customers in Singapore, a Forward Deployed Engineer designs and delivers custom fullstack applications and solutions on the Databricks Data Intelligence Platform. The daily routine involves owning architecture decisions, implementing end-to-end systems that span data engineering and artificial intelligence, and building production-grade applications that connect data pipelines to user-facing interfaces.
Databricks operates as the data and AI company, providing a unified platform relied upon by thousands of organizations worldwide. Team members collaborate closely with sales, product, and field engineering to guide customers from pre-sales through post-deployment while contributing reusable assets that scale impact across accounts.
Successful candidates combine strong software engineering depth with adaptability and customer-facing experience. The ideal individual navigates complex enterprise environments, communicates effectively with technical individual contributors and executive stakeholders alike, and maintains a continuous learning mindset when exploring new technologies.
What you will do
- Lead architecture and design decisions to ensure solutions remain secure, scalable, and aligned with customer needs.
- Design and develop applications spanning backend, frontend, and integrations to bring data and AI to life for enterprise users.
- Deliver production-grade systems ranging from data ingestion and transformation to machine learning model integration.
- Embed with customer teams to engage with stakeholders from technical individual contributors to executives.
- Partner with sales, product, and field engineering to ensure a seamless customer journey from pre-sales through post-deployment.
- Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the product roadmap.
What you need
- Demonstrate a strong background in software engineering with experience across backend, frontend, and systems integration.
- Show proficiency in Python, SQL, Java or Scala, JavaScript or TypeScript, and modern frameworks.
- Build and deploy production applications that combine data pipelines, machine learning models, and user-facing interfaces.
- Bring familiarity with working with AI APIs such as OpenAI, Anthropic, and Gemini into applications.
- Provide a proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
- Engage across a broad stakeholder range to translate complex concepts into actionable solutions.
Benefits
- Comprehensive benefits and perks tailored to meet regional employee needs
Skills and tech stack
Questions candidates ask
What is the primary focus of this role?
You will embed directly with strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
Who will I be collaborating with?
You will embed with customer teams, engaging with stakeholders from technical individual contributors to executives. Additionally, you will partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
What technical skills are required?
The role requires proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. You also need experience building production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
What kind of company is Databricks?
Databricks is the Data and AI company relied upon by more than 20,000 organizations worldwide. The company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.