Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
RakutenAs a Data Platform FinOps Specialist at Rakuten Group's Data Platform Department, you will drive the FinOps & Cost Optimisation function for data workloads - BigQuery, Databricks, Azure, and Snowflake - across over 70 business units. You will build cost-visibility dashboards, operate the monthly FinOps review cycle, implement GCP committed-use discount strategies, and translate spend data into actionable optimisation recommendations that directly reduce platform unit costs. You will build and maintain cost visibility dashboards covering BigQuery (slots and on-demand), Databricks DBU, and Snowflake credit consumption, broken down by BU, team, project, and workload. You will own the spend attribution model - implement chargeback and showback frameworks so BU finance teams can see and own their data platform costs. You will identify and act on GCP CUD (Committed Use Discount) optimisation: analyse slot commitment vs. on-demand patterns and recommend right-sizing and reservation changes. You will run monthly unused-asset cleanup cycles: identify idle datasets, dormant pipelines, and over-provisioned clusters, and coordinate decommission with data owners. You will operate the monthly FinOps review with BU finance stakeholders - prepare spend summaries, variance analysis, and savings tracking. You will instrument GCP billing APIs and Dataplex cost metadata to automate cost tagging and anomaly alerting. You will partner with the Platform Engineering team to embed FinOps guardrails in CI/CD pipeline templates (cost estimation pre-deploy, budget alerts). You will contribute to the platform unit economics model - cost per query, cost per pipeline run, and cost per BU workspace.
- Bachelor's Degree (BS) in Computer Science, Finance, Engineering, or a related field, or equivalent education and experience (7 years or more) - Proficient in cloud FinOps, cloud billing analysis, or data platform cost management (4 years or more) - Proficient with GCP billing - billing export to BigQuery, CUD/SUD mechanics, budget alerts, recommender API, and the Cloud Billing API (4 years or more) - Proficient in SQL - writing complex billing queries and building dashboards from BigQuery billing export data (4 years or more) - Proficient in building cost visibility dashboards using Looker Studio, Grafana, or equivalent BI tooling (3 years or more) - Proficient in designing and presenting chargeback and showback models to finance and BU leadership (3 years or more) - Proficient in Japanese at business level for BU finance reviews, vendor negotiations, and internal reporting (3 years or more) - Proficient in English at professional level for cross-functional coordination (5 years or more)
- Google Cloud Professional certification (Cloud Architect or Data Engineer) or FinOps Foundation Certified Practitioner - Experience with Databricks cost management - DBU optimisation, cluster policies, and photon vs. standard compute (2 years or more) - Experience with Snowflake cost governance - credit monitoring, warehouse scheduling, and resource monitors (2 years or more) - Experience scripting in Python for billing API automation and anomaly detection (2 years or more) - Experience in cloud financial management at enterprise scale (over $5M/year cloud spend) (2 years or more) - Familiarity with GCP Dataplex cost metadata and tagging automation
