Sr. Staff Forward Deployed Engineer

About the role

You will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have includes owning the architecture to ensure solutions are secure, scalable, and aligned with both customer needs and Databricks best practices, application engineering to design and develop applications spanning backend, frontend, and integrations to bring data and AI to life for enterprise users leveraging the Databricks platform, solution delivery to deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement, customer immersion by embedding with customer teams and engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact, cross-functional collaboration by partnering with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment, and reusable assets and scale by contributing accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Key facts

What you'll do

Investigate and analyze complex customer environments to define viable technical approaches and architecture for data and AI solutions. Collaborate with customer stakeholders to translate business requirements into concrete technical specifications and implementation plans. Design and develop robust backend services and data pipelines that integrate with Databricks and third-party platforms to enable scalable solution foundations. Implement interactive frontend components and user workflows that enable data consumers and business users to derive insights from integrated data and AI capabilities. Integrate AI APIs and machine learning models into production applications, ensuring responsible use, performance, and alignment with customer objectives. Build and maintain reusable libraries, frameworks, and accelerators that accelerate delivery across multiple customer engagements and standardize proven patterns. Partner with Sales and Pre-Sales teams to craft compelling technical narratives, validate solution feasibility, and support proposal efforts. Work alongside Field Engineering and Product Management to resolve technical dependencies, escalate risks, and coordinate cross-team alignment. Document architecture decisions, integration patterns, and operational procedures to ensure maintainability and knowledge transfer. Contribute insights from customer engagements back to Databricks product and engineering teams to shape platform evolution and roadmap priorities.

Requirements

Demonstrate strong background in software engineering with experience across backend, frontend, and systems integration. Show proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks relevant to enterprise development. Exhibit ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces in customer contexts. Bring familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and experience leveraging AI code generation tools to accelerate productivity. Provide evidence of delivering technical solutions in enterprise environments that drive measurable business outcomes and operational impact. Show capability to engage across a broad stakeholder range, from individual contributors to C-level executives, translating complex technical concepts into actionable plans. Display curiosity, adaptability, and eagerness to explore new technologies, domains, and diverse customer challenges while maintaining quality and delivery standards. Operate with professionalism, ownership, and clear communication to build trust with customer teams and Databricks partners.

Practical notes

This role may require specific hours based on customer time zone alignment in Singapore. Travel may be required within the region and potentially internationally depending on customer needs. Visa requirements and sponsorship details will be addressed during the hiring process if applicable. Deadlines for submission and review will be managed in coordination with the recruiting team as specified in the source information.