Data Platform Engineer

KAKEHASHI is hiring a Data Platform Engineer for its data platform team. The role is based at 105-0003, 2-8-6 Nishi-Shimbashi, Minato-ku, Tokyo.

The engineer will design, develop, and operate a secure, reliable, and usable data platform. The work supports better product development and faster decision-making by making organizational data available for appropriate use while maintaining data security. Core responsibilities include designing, developing, and operating a data platform intended to enable a data mesh; designing, developing, and operating pipelines for data ingestion and transformation; and improving and automating operational work.

The role collaborates with product developers, data analysts, legal staff, SRE members, and the office responsible for personal information protection. The broader product context includes challenges in pharmacy operations, pharmaceutical distribution, and patient support. The position handles healthcare data and involves applying data governance and its implementation in accordance with applicable laws and regulations.

The current team consists of one engineering manager/product manager, one full-time engineer, and two contract engineers.

The named technology environment includes Databricks for the data analysis platform; AWS services including RDS, DynamoDB, Glue Data Catalog, S3, and Kinesis Streams; and Kintone, Trello, and GCS as other data sources or tools. Infrastructure as Code uses Terraform. CI/CD includes Databricks Data Asset Bundles and GitHub Actions. The listed LLM technologies are OpenAI, Gemini, and Claude through Amazon Bedrock. Listed AI SaaS tools include GitHub Copilot, Dify, Cursor, Cline, Devin, and NotebookLM.

The stated selection process is document screening, a casual meeting, two to three interviews, an aptitude test, a reference check, and an offer meeting. The reference check uses back check and collects questionnaire-based information from people who worked with the candidate in a current or previous role.