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As a Data Platform Engineer, you will be responsible for managing one of the largest data platforms in the world. Your focus will be on ensuring that data, data services, and infrastructure are reliable, fault-tolerant, efficiently scalable, and cost-effective. These platforms support dozens of products, hundreds of developers, and thousands of daily jobs, reinforcing Adyen’s industry-leading capabilities.
Job Responsibility:
Design, develop, operate, and maintain scalable, reliable, fault-tolerant, and high-performance big data platforms
Work with distributed systems in all shapes and flavors (databases, file systems, compute, etc.)
Shape and maintain continuous improvements and deployment of new clusters
Implement observability solutions (logging, monitoring, alerting) to ensure system reliability and performance
Optimize performance of large-scale distributed data platforms with appropriate cluster configurations, and resource management
Practice sustainable incident response and blameless postmortems, with a focus on automation and root cause analysis
Improve security and compliance by implementing access controls, encryption, and best practices for data governance
Design and build automation tools to reduce toil and enhance the reliability of data platforms
Self-service infrastructure to empower data teams while maintaining platform stability
Requirements:
Familiar with infrastructure automation and configuration management tools (e.g. Ansible, Terraform, Puppet)
Strong system administrator/platform engineer background with experience in large-scale distributed systems
Experienced with infrastructure and private cloud systems (on-premise)
A team player with strong communication skills, able to work closely with diverse stakeholders (analysts, data scientists, data engineers, infrastructure, and security teams)
Experience developing and maintaining: Distributed data and compute systems (Hadoop, Druid, Trino, etc)
Kubernetes (k8s, Docker)
Hadoop ecosystems (Hive, YARN, HDFS, Kerberos)
Nice to have:
Experience as a Data Platform Engineer or Site Reliability Engineer for Data Platforms
Fluency in Python. Java, Golang, or Rust are also appreciated
Experience in observability & monitoring tools (Prometheus, Grafana, OpenTelemetry)
Experience with on-call rotations or incident management in high-scale distributed systems