Scale Solution Engineer Japanese speaking English required
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/25/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will provide early technical assistance to new customers, become an expert in the Databricks Platform, and guide technical decisions. You will work with multiple customers concurrently to help them onboard and deploy Databricks in their production environments.
Requirements
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience.
- 2+ years of experience in a technical role.
- Knowledge of AWS, Azure, or GCP.
- Knowledge of Python, Scala, or SQL.
- Knowledge of end-to-end data analytics workflows.
- Experience with data engineering technologies such as ETL, DBT, Spark, or Airflow.
- Experience with data warehousing technologies such as SQL, stored procedures, Redshift, or Snowflake.
- Written and verbal communication skills in Japanese and English.
- Time management and prioritization skills.
Responsibilities
- Provide technical assistance to new customers early in their journey.
- Guide customers in making technical decisions on the Databricks Platform.
- Work with multiple customers concurrently to provide technical solutions.
- Help customers onboard and deploy Databricks in production environments.
