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Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (Data & AI): Building and productionizing end-to-end data, AI, and application solutions for enterprise customers on the Databricks platform with an accent on architecture ownership, distributed computing, and customer-focused delivery. Focus on designing scalable production systems, integrating data pipelines with ML/AI models and user-facing applications, and guiding complex deployments across technical stakeholders.
Location: Tokyo, Japan; travel to customers 20% of the time
Company
Databricks provides a unified Data and AI Platform for organizations building and scaling data applications, analytics, and AI solutions.
What you will do
- Build and productionize end-to-end data, AI, and application solutions for enterprise customers using the Databricks platform.
- Own architecture and design decisions for secure, scalable, production-grade systems.
- Design data architectures, ingestion pipelines, custom applications, and ML/AI model integrations.
- Guide customers through technical projects, adoption, evaluation, deployment, and measurable outcomes.
- Collaborate with engineering, product, support, project management, architects, and customer stakeholders.
- Create reusable accelerators, frameworks, and best practices that scale across accounts.
Requirements
- 8+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Professional coding experience with Python, Scala, JavaScript/TypeScript, or modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in one.
- Deep experience with distributed computing using Apache Spark, including Spark runtime internals, plus CI/CD and MLOps knowledge.
- Experience designing and deploying performant end-to-end data architectures and applications integrating pipelines, ML/AI models, and user-facing interfaces.
- Fluent Japanese and professional working proficiency in English required. Databricks Certification, technical project delivery, enterprise customer experience, documentation, and whiteboarding skills are also required.
Culture & Benefits
- Hands-on, customer-facing work at the intersection of technology and business impact.
- Cross-functional collaboration with engineering, product, developer relations, support, and customer teams.
- Opportunities to influence product direction through customer and implementation feedback.
- Comprehensive benefits and perks offered according to the employee's region.
- Inclusive workplace committed to equal employment opportunity and diversity.
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