Senior Forward Deployed Engineer, Full Stack

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & 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.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal

candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to

solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to

specification with exceptional customer empathy.

• 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.

• Extensive experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines,

ML/AI models, and user-facing interfaces.

• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts

into actionable solutions.

• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which

support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time
• Databricks Certification preferred but not essential

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and

over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,

Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific

details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to

ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment

at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or

expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,

socio-economic status, veteran status, and other protected characteristics.

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's

discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an

applicant on this basis alone.