
Data Platform Specialist
5 days ago
About the Role
As a Data Platform Observability Lead, you will play a critical role in establishing and advancing observability practices across data platforms.
Key Responsibilities
- Design comprehensive observability frameworks to monitor performance, reliability, and availability of data platforms and services.
- Define key metrics and track their progress across platform components and data pipelines.
- Lead integration of monitoring, logging, tracing, and alerting tools for real-time insights and root cause analysis.
- Collaborate with platform teams to enhance observability coverage and automate incident responses.
- Drive adoption of best practices in telemetry collection, dashboards, and visualization for operational excellence.
- Oversee incident management processes and post-mortem practices for continuous reliability improvements.
- Provide leadership in tool evaluation and deployment across observability platforms.
- Partner with security, compliance, and data governance teams for visibility into data usage, lineage, and policy adherence.
- Lead operational reviews and reporting to highlight system health, risks, and opportunities for optimization.
- Mentor engineers on observability concepts and tools to build resilience.
Requirements
- 8+ years of experience in platform engineering, SRE, DevOps, or observability roles.
- Strong expertise with ETL Pipelines.
- Proficient with observability tools (e.g., Datadog, Grafana, Prometheus, ELK, OpenTelemetry).
- Deep understanding of monitoring distributed data platforms, cloud-native architectures.
- Experience setting 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; advanced degree or certifications preferred.
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