Scopely

Gaming

SeniorManagerCloudDataPlatform

Barcelona, Spain Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Manager Cloud Data Platform at Scopely. Skills: Cloud Data Platform, GCP, BigQuery, Terraform. Lead data platform engineers. Own cloud data platform architecture”

What You'll Achieve.

Enable teams to move fast; Maintain high standards of quality; Maintain cost control; Maintain security; Ensure secure and compliant usage of data; Improve tools observed, measured, and improved; Ensure consistency, scalability, and maintainability; Meet needs of data engineering, analytics, and governance teams

Industry & Context.

Gaming

What They're Looking For.

Must Have

6 to 10 years of experience in data platform, data engineering, or cloud infrastructure roles, 2+ years of experience managing or mentoring engineers, experience with GCP, especially BigQuery and IAM, Solid understanding of modern data stack tools such as DBT and Airflow, Experience managing infrastructure through Terraform or similar tools, Good understanding of data platform reliability, scalability, and cost optimization, Experience implementing monitoring, alerting, and incident management processes, Ability to balance technical depth with team leadership and stakeholder collaboration, communication skills and ability to work across technical and non-technical teams

Nice to Have

Experience with Looker or similar BI tools, Familiarity with data governance and security best practices, Experience in high-scale environments with large data volumes, Background in gaming, tech, or fast-growing product companies

What You'll Do.

Lead data platform engineers

Own cloud data platform architecture

Ensure platform scalability and stability

Define infrastructure as code practices

Manage platform administration

Enforce data access and permission models

Monitor platform performance and reliability

Optimize platform cost and performance

Promote best practices across data platform

Improve observability and monitoring

Drive platform standardization

Partner with data teams

Ensure security and access controls

Evaluate and adopt new tools

Support high availability and disaster recovery

How You'll Work.

Team & Collaboration

Collaborate with data engineering teams; Collaborate with analytics teams; Collaborate with governance teams; Collaborate with Security teams; Collaborate with technical teams; Collaborate with non-technical teams

Communication Scope

Communication skills

Full Job Description

Scopely is seeking a highly motivated Senior Manager Cloud Data Platform to join our Playgami team in Barcelona on a hybrid basis! At Scopely, we care deeply about what we do and want to encourage play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do This is a technical leadership role focused on platform ownership, reliability, scalability, and efficiency. You will lead a team responsible for the infrastructure and tooling around our data warehouse and ensure the platform enables teams to move fast while maintaining high standards of quality, cost control, and security. Own the architecture, reliability, and performance of the cloud data platform built on GCP Manage and mentor a team of data platform engineers Ensure the scalability and stability of core components, including BigQuery, DBT, Composer (Airflow), and Looker Define and implement best practices for infrastructure as code using Terraform Act as the owner of platform administration (tool admin) across the data stack, ensuring proper configuration, access, and lifecycle management Enforce data access and permission models in alignment with Data Governance policies, ensuring secure and compliant usage of data Monitor platform performance and reliability, defining how tools are observed, measured, and improved over time Optimize cost and performance across the platform, especially in BigQuery and orchestration workloads Define and promote best practices across the data platform, ensuring consistency, scalab

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