# Sr. Forward Deployed Engineer - Public Sector

**Company**: Databricks
**Location**: Alabama
**Work arrangement**: remote
**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/8823788002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/sr-forward-deployed-engineer-public-sector-55132c98-6b4/

## Description

We are seeking a Sr. Forward Deployed Engineer (FDE) to work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the Databricks platform.

Responsibilities:

- 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 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

- Deliver Technical Components: 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

- Cross-Collaborate: Work with Engineers and 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

Requirements:

- 5+ years experience in data engineering, data platforms & analytics, or software engineering

- Fluency in writing code in 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, documentation and white-boarding skills

- Experience working with enterprise clients and managing conflicts across a broad stakeholder range

Preferred Qualifications:

- 8+ years experience in data engineering, data platforms & analytics, or software engineering

- Databricks Certification

- Expertise in MLOps, ML/AI models, and AI APIs

Pay Range: $182,000-$250,208 USD

Benefits:

- Comprehensive benefits and perks that meet the needs of all employees

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

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

### Nice to have
- Databricks Certification
- Expertise in MLOps, ML/AI models, and AI APIs

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8823788002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)