About this role
Job title: Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences
About the Role
As a Sr. Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data and 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. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
What You'll Do
- Production Solution Delivery: 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
- Transformational Impact: 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. Work with engagement managers to scope technical delivery work with input from the customer
- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
What We're Looking For
- Strong engineering background with expertise in data engineering, AI/ML, and building production-grade systems
- Proven ability to own architecture and design decisions, ensuring secure, scalable solutions
- Excellent communication and customer-facing skills; able to partner with engagement managers, architects, and customer teams
- Experience delivering end-to-end data and AI projects in a cross-functional environment
- Ability to work in a fast-paced, billable consulting context with customer empathy and impact-driven mindset
- Comfortable embedding with customer teams and guiding adoption of Databricks solutions
- Willingness to collaborate across engineering, product, and support teams to drive rapid issue resolution and feedback