Sr. Forward Deployed Engineer - FDE (Fullstack)
Databricks2 months ago
Berlin, Germany or Munich, GermanySenior
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Design, build, and deploy end-to-end big data and AI applications for strategic customers.
- Guide customers on architecture and design and help bootstrap or implement their Databricks projects.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Coordinate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement technical components.
- Provide product and implementation feedback and help resolve engagement-specific product and support issues.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to code in Python, Scala, JavaScript, or TypeScript using modern frameworks.
- Working knowledge of at least two cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, including managing scope and timelines and translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across diverse stakeholders.
- Curiosity, adaptability, and eagerness to learn technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
- Willingness to travel to customers approximately 20% of the time.
Benefits
- Comprehensive benefits and perks, with region-specific details available.
- Travel to customers approximately 20% of the time.
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.