Job Description: Business Overview The Technology Platforms Division (TPD) drives the growth of Rakuten's ecosystem by delivering innovative, high-quality technology platforms characterized by integrated control and strategic partnerships. Within TPD, the Cloud Platform Supervisory Department (CPSD) develops and manages Rakuten's state-of-the-art cloud platform, empowering global scalability and accelerating innovation across its diverse business units. 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: Position Details As a Senior DataOps Engineer, you will lead the design and delivery of multi-cloud data pipeline infrastructure within the Data Platform Department at Rakuten Group. You will work closely with BU data engineering teams, platform leads, and governance stakeholders to define engineering standards, build reusable CI/CD templates, and drive the self-service data platform adoption across 70+ business units. Responsibilities · Lead the design and implementation of standardised pipeline templates for multi-cloud data ingestion, transformation, and delivery (GCP BigQuery / Dataflow and Azure Databricks) · Build and maintain CI/CD standards and tooling (GitHub Actions / Cloud Build) used across BU data engineering teams · Implement automated testing, validation, and rollback frameworks to enforce SLA and quality gates at the pipeline level · Lead BU onboarding to the data platform (target: 8-week SLA), providing technical guidance and runbook documentation · Drive adoption of Open Table Format (OTF / Apache Iceberg) as the group-wide storage standard across BU workloads · Operate and improve Apache Airflow orchestration environments; define DAG standards, dependency graphs, and alerting · Partner with the Data Governance team to enforce metadata and lineage capture at pipeline runtime · Mentor junior DataOps Engineers and contribute to the team engineering knowledge base — runbooks, ADRs, and onboarding guides Mandatory Qualifications: · Bachelor's Degree (BS) in Computer Science, Data Engineering, or a related field, or equivalent education and experience (8 years+) · Proficient in DataOps or data platform engineering, including CI/CD for data pipelines (5 years+) · Proficient with GCP data services including BigQuery, Dataflow, Cloud Composer, and Pub/Sub (4 years+) · Proficient with Azure data services including Databricks, Azure Data Factory, and Azure Data Lake Storage (3 years+) · Proficient with Apache Spark for large-scale distributed data processing (4 years+) · Proficient in Python for pipeline scripting, data transformation, and automation (4 years+) · Proficient with Apache Airflow — DAG design, scheduling, backfill strategy, and SLA monitoring (3 years+) · Proficient with CI/CD automation tools such as GitHub Actions, Cloud Build, or Jenkins (4 years+) · Proficient with infrastructure-as-code tools such as Terraform (3 years+) · Proficient in SQL (BigQuery SQL / SparkSQL / ANSI SQL) (5 years+) Desired Qualifications: · Experience with Apache Iceberg or Delta Lake open table formats and lakehouse architecture (2 years+) · Experience in a platform engineering or developer-experience (DX) role (2 years+) · Experience with streaming pipelines — Kafka, Dataflow Streaming, or Apache Flink (2 years+) · Experience working in a multi-BU or enterprise-scale data platform environment (3 years+) · Familiarity with data mesh or federated data platform operating models #engineer #infrastructureengineer #technologyplatformdiv Languages: English (Overall - 4 - Fluent) In Japanese, Rakuten stands for ‘optimism.’ It means we believe in the future. It’s an understanding that, with the right mind-set, we can make the future better by what we do today. So we challenge ourselves to evolve, innovate and experiment, to create a better, brighter future for everyone. Today, our 70+ businesses span e-commerce, digital content, communications and fintech, bringing the joy of discovery to almost 1.3 billion members across the world. If you have any trouble logging in, please contact us here Rakuten Group, Inc.: [email protected] *Please read the Application Requirements(EN) / 募集要項(JP) before applying. Our Diversity & Inclusion Policy and Application Documents Rakuten’s corporate mission is to “contribute to society by creating value through innovation and entrepreneurship.” We foster a culture that provides equal opportunities to those who share this founding philosophy and take on the challenge to transform society, regardless of age, gender, nationality, or any other status. Diversity is one of Rakuten's core strategies and a driving force for innovation. Because of this, you are not required to submit any of the following information in order to apply for our job positions. - Gender - Age - Photo - Nationality* - Information not related to business, such as ideological beliefs, family structure, etc. * For legal compliance, we may ask you about your work eligibility. See the details

Senior DataOps Engineer, Data Platform Section - Data Platform Department (DPD).

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