Principal Data Pipeline Architect

2 weeks ago

Dublin, Dublin City, Ireland beBeeTelemetry Full time €98,765 - €123,456
Senior Telemetry Engineer

We are seeking a highly skilled Senior Telemetry Engineer to lead the design and implementation of telemetry pipelines across diverse environments.

About the Role:
  • The ideal candidate will have a deep understanding of distributed tracing, metrics collection, and log aggregation.
  • They should also have strong hands-on expertise with OpenTelemetry (Collector, SDKs, OTLP protocol) and experience with observability platforms such as Splunk, Prometheus, Grafana, Jaeger, Zipkin, Datadog, etc.
  • A proficiency in one or more programming languages (e.g., Python, Go, Java, Node.js) for instrumentation is required.
Responsibilities:
  1. Architect and implement end-to-end telemetry pipelines for applications deployed across cloud, on-prem, and hybrid environments.
  2. Lead the installation, configuration, and optimization of OpenTelemetry components including SDKs, Collector, and exporters.
  3. Collaborate with application, infrastructure, and DevOps teams to define telemetry standards and integrate observability into CI/CD workflows.
  4. Design scalable and resilient data collection strategies from metrics, logs, and traces.
  5. Develop and maintain instrumentation libraries for microservices and legacy applications.
  6. Ensure telemetry data is efficiently routed to observability platforms.
  7. Conduct performance tuning and troubleshooting of telemetry pipelines.
  8. Provide architectural guidance and best practices for telemetry adoption across teams.
Requirements:
  • Proven experience in setting up telemetry pipelines from scratch across multiple environments.
  • Strong hands-on expertise with OpenTelemetry (Collector, SDKs, OTLP protocol).
  • Deep understanding of distributed tracing, metrics collection, and log aggregation.
  • Experience with observability platforms such as Splunk, Prometheus, Grafana, Jaeger, Zipkin, Datadog, etc.
  • Proficiency in one or more programming languages (e.g., Python, Go, Java, Node.js) for instrumentation.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and VM/on-prem infrastructure.
  • Knowledge of container orchestration (Kubernetes), service meshes (Istio), and CI/CD pipelines.

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