Forward Deployed Engineer
Databricks11 hours ago
Tokyo, JapanSenior
Responsibilities
- Lead the delivery of production-grade customer systems, reference architectures, custom applications, data ingestion, and ML/AI integrations.
- Design and implement end-to-end data and AI applications using the Databricks platform.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Guide customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
- Collaborate with engagement managers, project managers, architects, engineering, customer support, and client teams to deliver technical project outcomes.
- Embed with customer stakeholders, manage technical delivery scope and timelines, and resolve engagement-specific product and support issues.
- Create reusable accelerators, frameworks, and best practices and provide feedback that influences the Databricks product roadmap.
Requirements
- 8+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript/TypeScript, and 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.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Strong documentation, whiteboarding, enterprise client, stakeholder management, and conflict resolution skills.
- Curiosity, adaptability, and willingness to explore technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
- Fluent Japanese and professional working proficiency in English.
- Ability to travel to customers 20% of the time.
Benefits
- 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.