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Data Platform Observability Expert
3 weeks ago
Job Description:
The ideal candidate will lead the design and implementation of comprehensive observability frameworks to monitor performance, reliability, and availability of data platforms and services.
Key Responsibilities:
- Design and implement scalable monitoring solutions to ensure real-time visibility into system performance.
- Develop and track key service-level indicators (SLIs), service-level objectives (SLOs), and key performance indicators (KPIs) across critical platform components and data pipelines.
- Collaborate with cross-functional teams to integrate monitoring, logging, tracing, and alerting tools for enhanced incident response and root cause analysis.
- Drive the adoption of best practices in telemetry collection, dashboards, and visualization for operational excellence.
- Oversee incident management processes and post-mortem practices to ensure continuous reliability improvements.
- Provide leadership in tool evaluation and deployment across observability and performance management platforms.
Requirements:
- 11+ years of experience in platform engineering, site reliability engineering (SRE), DevOps, or observability roles
- Strong expertise with observability tools and platforms (e.g., Datadog, Grafana, Prometheus, ELK, Open Telemetry)
- Deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures
- Experience setting and managing SLIs/SLOs/SLAs in high-availability environments
- Strong background in incident response, performance tuning, and root cause analysis
- Proven ability to lead cross-functional collaboration and align technical work with business outcomes
- Bachelor's degree in computer science, Engineering, or related field; advanced degree or certifications preferred