Remote opportunity at
DatabricksForward Deployed Engineer, FDE (L4)
Databricks is seeking a Forward Deployed Engineer, FDE (L4) to join its remote team. Databricks operates as a data and artificial intelligence company, serving over 20,000…
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About This Role
Databricks is seeking a Forward Deployed Engineer, FDE (L4) to join its remote team. Databricks operates as a data and artificial intelligence company, serving over 20,000 organizations globally through its unified platform that incorporates features such as Unity Catalog, Lakehouse, and Genie. In this customer-facing position, the professional will collaborate directly with clients to design, build, and productionize data and AI solutions utilizing the Databricks platform. This role suits individuals…
Job Description
Databricks is seeking a Forward Deployed Engineer, FDE (L4) to join its remote team. Databricks operates as a data and artificial intelligence company, serving over 20,000 organizations globally through its unified platform that incorporates features such as Unity Catalog, Lakehouse, and Genie. In this customer-facing position, the professional will collaborate directly with clients to design, build, and productionize data and AI solutions utilizing the Databricks platform.
This role suits individuals who possess a blend of technical capability and business insight, enjoying direct interaction with stakeholders ranging from individual contributors to executive leadership. Duties involve guiding architectural decisions, implementing end-to-end systems, developing custom applications, and creating reusable accelerators that scale across multiple accounts. Travel to customer locations is required up to twenty percent of the time.
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, and custom applications
- Guide strategic clients through big data transformations from design to deployment
- Collaborate with engagement managers to scope technical delivery work based on customer input
- Direct architecture and design choices to maintain secure, scalable solutions following platform best practices
- Coordinate with engineering and support departments to relay product feedback and resolve issues
- Embed with client teams to understand challenges and build reusable frameworks and accelerators
Requirements
- Nine or more years of professional background in software engineering, data platforms and analytics, or data engineering
- Proficiency in writing code using Python, Scala, JavaScript, or TypeScript alongside modern frameworks
- Working familiarity with at least two major cloud ecosystems, including AWS, Azure, or GCP, with deep expertise in one
- Extensive background in distributed computing with Apache Spark alongside knowledge of its runtime internals
- Familiarity with CI/CD practices for production releases
- Understanding of MLOps, artificial intelligence APIs, and ML/AI models
- Ability to travel to customer sites up to 20 percent of the time
Qualifications
- Databricks Certification
Core Skills
Benefits
- Comprehensive benefits and perks tailored to employee needs based on their region
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting lists the remote status as remote, though 20 percent travel to customer sites is required.
What level of experience is required for this role?
Candidates must have at least nine years of experience in data engineering, data platforms and analytics, or software engineering.
What is the salary for this position?
The provided job posting does not specify the salary.
What programming languages and cloud platforms are needed?
Applicants need to be comfortable writing code in Python, Scala, JavaScript, or TypeScript, and possess working knowledge of at least two cloud ecosystems such as AWS, Azure, or GCP.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.