Associate Forward Deployed Engineer
Databricks2 hours ago
Responsibilities
- Deliver production-grade data and AI systems and reference architectures on the Databricks platform.
- Support customer projects from prototype through production deployment and contribute reusable frameworks, tools, and best practices.
- Contribute to architecture and design decisions for secure, scalable, full-stack solutions.
- Embed with customer teams to understand technical and business challenges and deliver measurable impact.
- Collaborate with senior FDEs, Databricks engineering, customer support, project managers, architects, and customer teams.
- Manage technical scope and timelines for assigned workstreams while growing toward end-to-end delivery ownership.
Requirements
- At least 2 years of experience in software engineering, data engineering, or data platforms and analytics.
- Strong full-stack software engineering skills with proficiency in Python and JavaScript/TypeScript, including back-end services, APIs, and modern front-end frameworks.
- Solid computer science fundamentals in data structures, algorithms, testing, and version control.
- Experience with AWS, Azure, or GCP, or a strong desire to develop cloud expertise quickly.
- Familiarity with CI/CD, production data architectures, MLOps, ML/AI models, and AI APIs.
- Strong communication skills and interest in customer-facing engineering work.
- Curiosity, adaptability, and willingness to learn technologies used to deploy and integrate Databricks solutions.
- Apache Spark or distributed data processing experience is a plus.
- Databricks Certification is a plus and may be obtained after joining.
Benefits
- Hybrid office role based in Databricks' New York Midtown office with up to 20% travel to customer sites.
- Databricks offers comprehensive benefits and perks, with region-specific details available through the company benefits information.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.