# Forward Deployed Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Berlin, Germany, Munich, Germany, Seoul, South Korea
**Role:** Solutions Architecture
**Experience:** 6+ years
**Skills:** Python, Scala, JavaScript, TypeScript, AWS, Azure, GCP, Spark, CI/CD, MLOps, Machine Learning, Ai Apis, Data Engineering, Databricks, Data Architecture
**Posted:** 2026-09-02

> Build and deploy production-grade data and AI solutions for enterprise customers using Databricks, owning architecture and hands-on implementation across data, ML, and applications. Requires 6+ years of engineering experience, cloud expertise, Apache Spark, and strong customer-facing project delivery skills.

## Job Description

## Responsibilities
- Lead customer technical projects delivering production-grade data and AI systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Design and implement end-to-end architectures spanning data engineering, distributed computing, machine learning, and user-facing applications.
- Own architecture and design decisions, ensuring solutions are secure, scalable, performant, and aligned with customer needs and Databricks best practices.
- Guide customers through architecture, implementation, evaluation, adoption, and transformational big data initiatives.
- Collaborate with customers, project managers, architects, engineering, product, developer relations, and customer support teams to deliver technical components and resolve issues.
- Embed with customer teams and engage stakeholders ranging from technical contributors to executives.
- Scope technical delivery work, manage project timelines and outcomes, document solutions, and communicate through whiteboarding.
- Contribute reusable accelerators, frameworks, and best practices that scale across accounts.
- Travel to customers approximately 20% of the time.

## Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Proficiency in Python, Scala, JavaScript, or TypeScript and modern frameworks.
- Working knowledge of at least two cloud ecosystems, with expertise in one or more of AWS, Azure, or Google Cloud.
- Deep experience with distributed computing using Apache Spark and familiarity with Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps, machine learning and AI models, and AI APIs.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Experience working with enterprise clients and managing conflicts across diverse stakeholder groups.
- Strong documentation and whiteboarding skills.
- Curiosity, adaptability, and willingness to explore technologies used to deploy and integrate Databricks-based solutions.

## Nice-to-haves
- Databricks certification.

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