Databricks is the Data and AI company, headquartered in San Francisco with 30+ offices around the globe
Responsibilities
Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation
Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation
Provide technical expertise in cloud infrastructure and security relating to the Databricks Intelligence Platform
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
Improve community adoption (through tutorials, training, hackathons, conference presentations)
Contribute to the Databricks Community and act as a technical SME
Requirements
Pre-sales or post-sales experience working with external clients across a variety of industry markets
Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark)
Experience designing cloud infrastructure and services, such as AWS, Azure, or GCP, applying best practices in cloud security and networking
Designing, deploying, and maintaining cloud networks and connectivity (VPC/VNet design, routing, segmentation, private connectivity)
Identity & Access Management (role-based access control, principle of least privilege, integration with IdPs)
Hands-on experience with cloud infrastructure automation (Terraform, ARM, CloudFormation)
Experience supporting customers in designing and implementing a security lakehouse/security data platform on Databricks
Deep knowledge of development tools and best practices including CI/CD, unit and integration testing, automation and orchestration
Production programming experience in Python, Scala, SQL, or R
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
Nice to have: Databricks Certification
Conditions
Location: Tokyo, Japan
Language Requirements: Fluent Japanese required; Business-level English preferred