Senior Forward Deployed Engineer (Data & AI)

Location: Tokyo, Japan; travel to customers 20% of the time

Company

Databricks provides a unified Data + AI Platform used by organizations worldwide to build and scale data, analytics, AI applications, and agents.

What you will do

• Lead customer technical projects by designing and delivering production-grade data, AI, and application solutions.
• Own architecture and design decisions for secure, scalable systems aligned with customer needs and Databricks best practices.
• Build reference architectures, custom applications, data ingestion pipelines, and ML/AI model integrations.
• Guide enterprise customers through architecture, implementation, evaluation, and adoption of Databricks solutions.
• Collaborate with project managers, architects, engineering, support, and customer teams to deliver engagements and resolve implementation issues.
• Create reusable accelerators, frameworks, and best practices that scale across customer accounts.

Requirements

• 10+ years of experience in data engineering, data platforms and analytics, or software engineering.
• Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Experience with at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
• Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals, plus CI/CD and MLOps experience.
• Experience designing and deploying production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
• Fluent Japanese and professional working proficiency in English are required. Databricks Certification, customer-facing project delivery, enterprise stakeholder management, documentation, and whiteboarding skills are also required.

Culture & Benefits

• Hands-on, customer-facing work focused on measurable business and technical outcomes.
• Collaboration with customer stakeholders ranging from technical contributors to executives.
• Cross-functional cooperation with engineering, product, developer relations, customer support, project management, and architecture teams.
• Benefits and perks are provided according to the employee's region.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.