Overview
The role of Senior Forward Deployed Engineer (FDE) involves working with customers to develop and implement solutions to data and AI challenges using the Databricks platform. This customer-facing position requires expertise in architecture, end-to-end system implementation, and collaboration with various teams to ensure that client needs are met.
Key Responsibilities
- Lead the delivery of production-grade systems, reference architectures, custom applications, and ML/AI model integration.
- Guide customers through the implementation of transformational big data projects, ensuring alignment with their goals.
- Provide architectural guidance and bootstrap customer projects for successful adoption of Databricks.
- Ensure delivery of technical components meets customer requirements, working with the Databricks technical team.
- Engage with stakeholders from technical teams to executives to understand challenges and deliver impactful solutions.
- Contribute to reusable assets, frameworks, and best practices to scale impact across accounts.
Requirements
- 6+ years of experience in data engineering, analytics, or software engineering.
- Proficient in coding with Python, Scala, or JavaScript/TypeScript.
- Familiar with at least one cloud ecosystem (AWS, Azure, GCP).
- Experience with Apache Spark™ and its internals.
- Knowledge of CI/CD practices and MLOps.
- Ability to manage technical project delivery and communicate complex concepts effectively.
- Experience working with enterprise clients and managing stakeholder conflicts.
- Willingness to travel to customers approximately 20% of the time.
- Databricks Certification is an advantage.
Benefits
Databricks offers comprehensive benefits and perks tailored to meet the needs of employees. Specific details on benefits can be found by visiting their benefits page.
Location
This position is remote, available to candidates located in Washington D.C.
How to Apply
Interested candidates can apply through the Databricks career page.