
Data Observability Specialist
4 days ago
Data Platform Observability Lead
Job Description:The role of a Data Platform Observability Lead involves establishing and advancing observability practices across the Enterprise Data & Analytics landscape. The successful candidate will play a crucial part in designing, implementing, and monitoring comprehensive observability frameworks to monitor performance, reliability, and availability of EDAA data platforms and services.
This includes defining and tracking key Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Key Performance Indicators (KPIs) across critical platform components and data pipelines. The individual will also be responsible for leading the integration of monitoring, logging, tracing, and alerting tools to enable real-time insights and root cause analysis.
As a leader in this space, the Data Platform Observability Lead will collaborate with platform engineering, Site Reliability Engineering (SRE), and product teams to enhance observability coverage and automate incident responses. This person will drive the adoption of best practices in telemetry collection, dashboards, and visualization for operational excellence.
Additionally, they will oversee incident management processes and post-mortem practices to ensure continuous reliability improvements. The ideal candidate will provide leadership in tool evaluation and deployment across observability and performance management platforms.
They will partner with security, compliance, and data governance teams to ensure visibility into data usage, lineage, and policy adherence. A strong background in mentoring and coaching engineers and analysts on observability concepts and tools is essential to build a culture of shared ownership and resilience.
Requirements:- 8+ years of experience in platform engineering, SRE, DevOps, or observability roles
- Proficient with ETL Pipelines
- Strong expertise with observability tools and platforms
- 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
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