Staff Forward Deployed Engineer
Databricks2 months ago
Berlin, Germany or Munich, GermanyStaff+
Responsibilities
- Lead customer technical projects by designing and delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Own architecture and design decisions for secure, scalable solutions aligned with customer needs and Databricks best practices.
- Guide customers through implementation, evaluation, adoption, architecture, and design of Databricks-based solutions.
- Embed with customer teams and manage technical stakeholders ranging from individual contributors to executives.
- Coordinate with Databricks engineering, product, customer support, project managers, architects, and customer teams to deliver engagements and resolve issues.
- Scope technical delivery work with engagement managers and manage project scope, timelines, and measurable outcomes.
- Create reusable accelerators, frameworks, documentation, and best practices that scale across customer accounts and inform the product roadmap.
- Provide customer training, integration support, technical feedback, and other implementation assistance.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, or TypeScript using modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Experience designing and deploying performant, end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Working knowledge of CI/CD, MLOps, ML/AI models, and AI APIs.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Strong documentation and whiteboarding skills, along with curiosity and adaptability in exploring technologies for Databricks-based solutions.
- Databricks Certification is required.
Benefits
- Comprehensive employee benefits and perks are offered, with specific details 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.