転職AIログインマイページ
求人へ
FP&A条件を変える閉じる

こだわり
条件をクリア

Data Platform FinOps Specialist

楽天グループ株式会社

コーポレート　東京都　企業サイト　掲載 9/2

給与

記載なし※ 募集要項に金額の記載がありません

勤務地
東京都
雇用形態
記載なし
働き方
記載なし
年間休日
記載なし

要約求人票をもとにAIがまとめたものです

As a Data Platform FinOps Specialist at Rakuten Group's Data Platform Department, this role drives FinOps and cost optimisation for data workloads across over 70 business units. It builds cost-visibility dashboards, operates monthly FinOps reviews, implements GCP committed-use discount strategies, and recommends optimisations to reduce platform unit costs.

応募資格

必須

  • 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)

歓迎

  • 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

使用ツール

AzureCI/CD pipeline templates

募集要項最終確認 9/25

職種
FP&A
雇用形態
記載なし
給与
記載なし
勤務地
東京都
働き方
記載なし
経験年数
3年以上
学歴
大学卒業以上
掲載日
2026/09/02 18:18（27日前）
最終確認
2026/09/25 21:36（4日前）

仕事内容

Department Overview

The Data Platform Department (DPD) at Rakuten Group develops and maintains a comprehensive data platform, empowering over 70 Rakuten services with solutions for data ingestion, discovery, governance, analytics, and querying.

We support data-driven decision-making across one of Japan's largest data ecosystems, providing the tools and infrastructure to support key domains such as Data Lakes, Data Warehouses, and Business Intelligence.

Position Details

As 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.

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

Own the spend attribution model - implement chargeback and showback frameworks so BU finance teams can see and own their data platform costs

Identify and act on GCP CUD (Committed Use Discount) optimisation: analyse slot commitment vs. on-demand patterns and recommend right-sizing and reservation changes

Run monthly unused-asset cleanup cycles: identify idle datasets, dormant pipelines, and over-provisioned clusters, and coordinate decommission with data owners

Operate the monthly FinOps review with BU finance stakeholders - prepare spend summaries, variance analysis, and savings tracking

Instrument GCP billing APIs and Dataplex cost metadata to automate cost tagging and anomaly alerting

Partner with the Platform Engineering team to embed FinOps guardrails in CI/CD pipeline templates (cost estimation pre-deploy, budget alerts)

Contribute to the platform unit economics model - cost per query, cost per pipeline run, and cost per BU workspace

この求人は楽天グループ株式会社の採用ページの掲載内容をもとに構成しています。応募条件の最新情報は募集元をご確認ください。

東京都のFP&Aの求人199件

東京都のFP&Aの求人をすべて見る（199件）

募集元の採用ページから応募できます

応募は楽天グループ株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。

募集元の採用ページを開く

この求人と近い条件で探す数字はリンク先ページの掲載件数

この職種で探す

この勤務地で探す

働き方・年収で探す

この職種を募集する企業

相談募集元で応募する採用ページへ
AI相談