Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks•Washington, DC

11d•$182,000 - $250,208•Hybrid

About The Position

As a Sr. Forward Deployed Engineer (FDE), you will collaborate with customers to develop and deploy solutions for their data and AI challenges utilizing the Databricks platform. Your responsibilities will include owning the architecture, guiding design decisions, and implementing comprehensive end-to-end systems that encompass data engineering, AI, and application development. You will work cross-functionally with engineering, product, and developer relations teams to shape long-term strategic priorities and initiatives. FDEs are expected to demonstrate customer empathy, integrate with client systems, provide training, and address other technical needs to maximize customer value from their data. This is a hands-on, customer-facing role designed for individuals who excel at the intersection of technology and business impact. The ideal candidate possesses a blend of engineering expertise, adaptability, curiosity, and a strong desire to collaborate with customers and colleagues to solve complex problems and achieve measurable results. FDEs are billable and skilled in completing projects to specification with exceptional customer empathy.

Requirements

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
U.S. citizenship and eligibility for a U.S. government secret clearance are required.
Candidates with an active Secret or higher clearance are strongly encouraged to apply.

Nice To Haves

Databricks Certification

Responsibilities

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.
Guide strategic customers in implementing transformational big data projects, including end-to-end design, build, and deployment of industry-leading big data and AI applications. Collaborate with engagement managers to scope technical delivery work with customer input.
Advise customers on architecture and design; bootstrap or implement customer projects to ensure successful customer understanding, evaluation, and adoption of Databricks.
Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement meet customer 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.
Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.