Sr. Forward Deployed Engineer
Databricks
- Location
- US
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- USD 182,000–250,208/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Build and productionize solutions using the Databricks platform
- Own the architecture and lead design decisions
- Implement end-to-end systems spanning data engineering, AI, and application development
- Deliver with customer empathy, integrating with client systems, training, and other technical needs
- Lead impactful customer technical projects by delivering production-grade systems
- Design and build reference architectures, custom applications and data ingestion and ML/AI model integration
- Guide strategic customers as they implement transformational big data projects
- Guide customers on architecture and design
- Bootstrap or implement customer projects
- Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure technical components are delivered
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback
- Embed with customer teams, engaging with stakeholders from technical ICs to executives
- Contribute accelerators, frameworks, and best practices that scale impact across accounts
- Influence the Databricks product roadmap
Requirements
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable 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 - 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
- Travel to customers 20% of the time
- Databricks Certification
Preferred
- Ability to obtain a U.S. government license for export-controlled technology or source code
Skills
- Databricks
- Python
- Scala
- JavaScript
- TypeScript
- AWS
- Azure
- GCP
- Apache Spark
- CI/CD
- MLOps
- AI APIs
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