
Data Platform Observability Leader
1 week ago
We are seeking a seasoned professional to lead our data platform observability efforts.
This role is responsible for establishing and advancing monitoring, logging, tracing, and alerting tools to ensure end-to-end visibility into platform performance, data pipeline health, system availability, and operational service level agreements.
The ideal candidate will have a deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures, as well as experience setting and managing service level indicators, objectives, and agreements in high-availability environments.
Key Responsibilities:
- Design and implement comprehensive observability frameworks to monitor performance, reliability, and availability of enterprise data & analytics (EDAA) data platforms and services.
- Define and track key service level indicators, objectives, and agreements across critical platform components and data pipelines.
- Lead the integration of monitoring, logging, tracing, and alerting tools to enable real-time insights and root cause analysis.
- Collaborate with platform engineering, site reliability engineering (SRE), and product teams to enhance observability coverage and automate incident responses.
- 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.
- Partner with security, compliance, and data governance teams to ensure visibility into data usage, lineage, and policy adherence.
- Lead operational reviews and reporting to highlight system health, risks, and opportunities for optimization.
Requirements:
- 11+ years of experience in platform engineering, site reliability engineering (SRE), DevOps, or observability roles.
- Proficient with extract, transform, load (ETL) pipelines.
- Strong expertise with observability tools and platforms (e.g., Datadog, Grafana, Prometheus, ELK, Open Telemetry, Splunk).
- Deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures (e.g., AWS, GCP, Azure).
- Experience setting and managing service level indicators, objectives, and agreements 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.
Bonus Points:
- Mentorship and coaching of engineers and analysts on observability concepts and tools.
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