Sr. Forward Deployed Engineer

As a Sr. 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.

The impact you will

have:

• 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.

• 6+ years 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

Databricks is committed to fair

and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range

for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on

several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant

certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full

width of the range. The total compensation package for this position may also include eligibility for annual performance bonus,

equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$182,000—$250,208 USD

Zone 2 Pay

Range

$182,000—$250,208

USD

Zone 3 Pay Range

$182,000—$250,208 USD

Zone 4 Pay Range

$182,000—$250,208 USD

About

Databricks​

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.​