Sr. Forward Deployed Engineer - Public Sector

PLEASE NOTE: Due to federal contract requirements and client site

access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified

information. T​he position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic

on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

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.

• 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 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

Pay Range

Transparency​

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.​