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About the Role
We are seeking a DevOps Engineer to manage the end-to-end operations of our enterprise Databricks platform hosted on Azure and GCP. The role will focus on platform administration, automation, CI/CD, monitoring, security, incident management, and ensuring a secure, reliable, and highly available platform.
Responsibilities
- Manage day-to-day operations of Azure and GCP Databricks environments
- Automate infrastructure provisioning and platform configuration using Terraform
- Build and maintain CI/CD pipelines for Databricks deployments
- Monitor platform health, performance, availability, and costs
- Troubleshoot production issues, perform root cause analysis, and drive operational improvements
- Manage platform security, access controls, secrets, and audit logging
- Collaborate with engineering, cloud, networking, and security teams to support platform operations
Requirements
- 3+ years of hands-on experience administering Azure Databricks in production environments
- Strong knowledge of Unity Catalog, workspace administration, cluster policies, compute management, Jobs & Workflows, permissions, secret scopes, and audit logs
- Experience managing multiple Databricks workspaces across development, test, and production environments
- Strong hands-on experience with Microsoft Azure and working knowledge of Google Cloud Platform (GCP)
- Experience with cloud networking concepts including VNet/VPC, Private Link/Private Endpoints, firewall rules, DNS, VPN/Peering, and secure connectivity
- Hands-on experience with Terraform for provisioning and managing cloud infrastructure
- Experience automating infrastructure deployment, configuration management, and environment standardization
- Experience building and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, or Jenkins
- Strong knowledge of Git, branching strategies, release management, and deployment automation
- Experience implementing monitoring, logging, and alerting using Azure Monitor, Log Analytics, GCP Cloud Monitoring, or similar tools
- Strong experience in production support, incident management, root cause analysis (RCA), and operational runbook creation
- Experience implementing RBAC, Microsoft Entra ID (Azure AD), IAM, service principals, managed identities, secret management, and audit logging
- Good understanding of cloud security best practices and compliance requirements
- Proficiency in Python and Bash (PowerShell is an advantage)
- Experience developing automation scripts for operational and deployment tasks
- Strong understanding of DevOps principles, Infrastructure as Code, CI/CD, GitOps, change management, and platform reliability engineering
- Experience managing multi-cloud Databricks platforms (Azure & GCP)
- Knowledge of Delta Sharing, Delta Live Tables, Databricks Asset Bundles, and Lakehouse architecture
- Experience with Docker, Kubernetes, Grafana, Prometheus, Splunk, or Datadog
- Experience with cloud cost optimization (FinOps)
- Azure, GCP, Databricks, or Terraform certifications
- Strong troubleshooting and analytical skills
- Experience supporting mission-critical production platforms
- Excellent communication and documentation skills
- Automation-first mindset with a focus on continuous improvement
Skills
- Databricks
- Azure
- GCP
- Terraform
- CI/CD
- Azure DevOps
- GitHub Actions
- GitLab CI
- Jenkins
- Git
- Azure Monitor
- Log Analytics
- GCP Cloud Monitoring
- Python
- Bash
- PowerShell
- Docker
- Kubernetes
- Grafana
- Prometheus
- Splunk
- Datadog
Experience Level
- 3+ years of hands-on experience
About the Company
- 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.