# Sr. Forward Deployed Engineer - Public Sector

**Company**: Databricks
**Location**: Washington, D.C.
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $182,000-$250,208 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8657468002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1600e2a1-ce6

## Description

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.

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.

**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.

- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which lead to a customer's 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 the customer's needs.

- 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:**

- 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** 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.

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

## Skills

### Required
- Python
- Scala
- JavaScript/TypeScript
- Apache Spark
- CI/CD
- MLOps
- ML/AI models
- AI APIs
- Cloud ecosystems (AWS, Azure, GCP)
- Distributed computing
- Data engineering
- Software engineering

### Nice to have
- Databricks Certification
- Experience working with enterprise clients

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8657468002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)