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Scopely, a leading video game and interactive entertainment company (home to MONOPOLY GO!, Pokémon GO, Stumble Guys, and others), is seeking a Senior Cloud Data Platform Engineer to join the Playgami Data Platform team in Barcelona.
The Playgami Data Platform provides shared infrastructure supporting 15+ games and 2,000+ active users across Scopely, processing 60TB of data daily. In this role, you will design, build, and improve the cloud infrastructure, tooling, and services that enable data and analytics teams to work safely and reliably at scale.
Key Responsibilities:
- Design and operate production GCP and BigQuery infrastructure using Terraform, automated checks, and CI/CD pipelines
- Build scalable, self-service platform capabilities enabling data teams to develop, deploy, and operate workloads with minimal manual support
- Implement and maintain least-privilege access controls, ensuring secure user and service account management with dependable approval and revocation processes
- Translate Security and Governance requirements into practical controls for sensitive data and data sharing
- Improve Airflow and Cloud Composer reliability through troubleshooting, staged upgrades, and tested recovery processes
- Optimize cloud data platform performance and cost efficiency using workload and capacity insights
- Build actionable monitoring and alerts, investigate incidents, and implement preventive improvements
- Partner with data and analytics teams to understand needs, investigate platform challenges, and shape the technical roadmap
- Create documentation, runbooks, and provide mentoring to help teams adopt and operate platform workflows
- Provide infrastructure, access controls, and shared tooling that enable teams to use data safely and reliably at scale
Requirements:
- Proven experience designing, deploying, and operating production cloud or data platforms, including safe releases and recovery procedures
- Hands-on experience with GCP, BigQuery, IAM, service accounts, and Cloud Storage (or strong equivalent cloud platform experience)
- Experience authoring Terraform and CI/CD workflows, testing infrastructure changes, and resolving drift
- Proficiency in Python for reusable automation and SQL for investigating data and workload behavior
- Experience implementing and validating least-privilege access, sensitive data controls, and audit logging
- Experience operating Airflow, Cloud Composer, Dagster, or similar workflow orchestrators
- Demonstrated track record of reducing manual work or improving platform reliability, workload performance, or cloud costs
- Strong English communication skills and experience collaborating with engineering, security, and data teams
Bonus Experience:
- BigQuery reservations, capacity management, query optimization, and cost attribution
- Cloud Composer migrations, upgrades, multi-environment orchestration, and recovery testing
- Workload Identity Federation, short-lived credentials, access approval integrations, or tools like Britive and Lumos
- Data classification, column-level controls, masking, controlled sharing, or automated sensitive data discovery
- Operating Looker, dbt, Fivetran, or Cube as shared platform services
- Supporting automated data workloads with access controls, monitoring, and cost limits
- Using AI-assisted tools for platform automation, troubleshooting, or documentation with appropriate testing and review
Note: You do not need experience with every tool listed. Scopely values production ownership, sound engineering judgment, and the ability to learn. Relevant experience can come from data platform, cloud infrastructure, software engineering, DevOps, or site reliability roles.
