Description
As a Sr. Forward Deployed Engineer (FDE), you will work with federal government 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 leads 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.
- 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 the 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.
Minimum Qualifications:
- 6+ years of 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:
- Expertise in MLOps, ML/AI models, and AI APIs.
- Databricks Certification.
Pay Range Transparency: The pay range for this role is $182,000-$250,208 USD.
Benefits: Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees.