Forward Deployed Engineer, FDE (L4)
Databricks (company site, opens in a new tab)9+ yrsRemoteDirect career pageEst. 35–60 LPA
Posted 4h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, and implementation of end-to-end production systems integrating data engineering, AI/ML models, and user-facing applications for customers.
- Manage customer technical projects delivering production-grade solutions and reference architectures ensuring scalability, security, and alignment with Databricks best practices.
- Collaborate cross-functionally with internal teams and embed with customer teams to ensure measurable impact, provide training, and contribute reusable assets to scale across accounts.
Minimum Requirements
- 9+ years of experience in data engineering, data platforms & analytics, or software engineering.
- Proficiency in coding with Python, Scala, JavaScript/TypeScript, or modern frameworks.
- Working knowledge of at least two cloud platforms (AWS, Azure, GCP), with expertise in one.
- Deep experience with Apache Spark, including Spark runtime internals, and familiarity with CI/CD and MLOps concepts.
Ideal Candidate Profile
- Experienced in managing complex, large-scale technical projects and delivering measurable business outcomes with enterprise clients.
- Operates effectively at the intersection of technical architecture and customer engagement, communicating complex concepts to diverse stakeholders including executives.
- Demonstrates strong adaptability and technical curiosity to build and integrate solutions within evolving data and AI ecosystems, with emphasis on production-ready deployments.