Sr. Forward Deployed Engineer

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.

What

we look for:

• 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

Databricks is

the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian,

Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics

and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes

Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

​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.​