Forward Deployed Engineer
Databricks2 months ago
Berlin, Germany or Munich, GermanySenior
Responsibilities
- Lead customer technical projects by designing and delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide end-to-end design, build, deployment, evaluation, and adoption of big data and AI applications.
- Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices.
- Embed with customer teams, manage technical stakeholders, provide training, and translate complex challenges into actionable solutions.
- Coordinate with engagement managers, project managers, architects, customer teams, engineering, and customer support to deliver projects and resolve issues.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the Databricks product roadmap.
Requirements
- At least 6 years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, or TypeScript and work with 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.
- 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, managing scope and timelines, and defining measurable outcomes.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Strong documentation and whiteboarding skills, curiosity, adaptability, and willingness to explore technologies supporting Databricks-based solutions.
- Databricks Certification is required or expected.
- Willingness to travel to customers 20% of the time.
Benefits
- Databricks offers comprehensive benefits and perks, with specific offerings varying by region.
- The role requires 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.