Observability Data Engineer

## Summary

Responsible for designing and implementing enterprise observability dashboards and analytics solutions using Grafana, with deep expertise in OpenTelemetry Protocol (OTLP) formatted metrics, traces, and logs. This role focuses on transforming telemetry data into actionable insights through advanced visualization and monitoring capabilities.

## Key Responsibilities

• Design and build comprehensive Grafana dashboards for metrics, traces, and logs visualization using OTLP data sources
• Implement advanced alerting and notification systems based on observability data patterns
• Create standardized dashboard templates and observability best practices for enterprise adoption
• Collaborate with infrastructure teams to optimize data retention policies and query performance
• Establish SLI/SLO monitoring frameworks and implement reliability engineering practices
• Integrate observability data with business intelligence tools and create executive-level reporting

## Core Skills

• **Grafana Administration**: Advanced dashboard creation, templating, alerting, and plugin development
• **OTLP & OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions
• **Database Knowledge**: PostgreSQL optimization for telemetry data
• **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns
• **Programming**: Python/Go for data pipeline development and Grafana plugin creation
• **Reliability Engineering**: SLI/SLO definition, error budget management, incident response workflows

## Preferred Qualifications

• Experience with enterprise observability platforms (Datadog, New Relic, Dynatrace) and migration strategies
• Knowledge of distributed tracing analysis and service dependency mapping
• Familiarity with infrastructure as code (Terraform) for observability resource management
• Background in statistical analysis and machine learning for anomaly detection
• Experience with business intelligence tools (Tableau, PowerBI) for executive reporting integration

• Advanced Grafana administration: dashboard creation, templating, alerting, plugin development
• Deep understanding of OTLP & OpenTelemetry metrics, traces, logs formats and semantic conventions
• PostgreSQL optimization for telemetry data
• Data visualization: statistical analysis, correlation detection, anomaly identification
• Python/Go for data pipeline development and Grafana plugin creation
• Reliability engineering: SLI/SLO definition, error budget management, incident response workflows
• Experience with enterprise observability platforms (Datadog, New Relic, Dynatrace) and migration strategies
• Knowledge of distributed tracing analysis and service dependency mapping
• Familiarity with infrastructure as code (Terraform) for observability resource management
• Background in statistical analysis and machine learning for anomaly detection
• Experience with business intelligence tools (Tableau, PowerBI) for executive reporting integration