Data Infrastructure Architect

1 day ago

Dublin, Dublin City, Ireland beBeeInfrastructure Full time €120,000 - €150,000
Job Description:

The Opportunity

This is a pivotal role in scaling and evolving our production data infrastructure. You'll join a collaborative, cross-functional team composed of Data, Infrastructure, and QA specialists.

You'll guide architectural decisions, champion best practices, and ensure our infrastructure meets the demands of a growing data platform.

As a senior member of the team, your work will have a visible and direct impact on the scalability, reliability, and velocity of data initiatives across the company.

  • Design and implement scalable, secure, and cost-effective infrastructure to support data-intensive workloads across batch and streaming systems.
  • Lead the architecture and implementation of monitoring solutions that go beyond basic alerting to include service-level objectives (SLOs), error budgets, and anomaly detection.
  • Drive performance optimization across storage, compute, and networking, including deep dives into Redshift, Spark, and Iceberg workloads.
  • Maintain and improve infrastructure automation using Terraform and CI/CD systems, with a focus on reusability, consistency, and testing.
  • Act as technical lead during incident response, coordinating efforts across teams, guiding root cause analysis, and embedding learnings through post-incident reviews.
  • Forecast capacity and resource needs based on platform growth, supporting both reactive and proactive scaling strategies.
  • Track and optimize infrastructure spend while maintaining performance SLAs and reliability goals.
  • Collaborate with security and data governance teams to implement secure-by-design infrastructure and ensure compliance with internal and external data policies.
  • Partner closely with data engineering and analytics teams to understand platform needs, troubleshoot production issues, and accelerate delivery of data products.
  • Influence tooling and process improvements across the engineering organization, including adoption of Kubernetes-native patterns, GitOps workflows, and event-driven architecture.

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