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Data Observability Expert

3 weeks ago

Palakkad, Kerala, India beBeeObservability Full time ₹ 14,87,376 - ₹ 23,19,640
Job Description

As a Data Platform Observability Lead, you will be responsible for establishing and advancing observability, monitoring, and reliability practices across the Enterprise Data & Analytics (EDAA) Platforms landscape.

This role ensures end-to-end visibility into platform performance, data pipeline health, system availability, and operational Service Level Agreements (SLAs).

The successful candidate will have strong expertise with observability tools and platforms, as well as a deep understanding of monitoring distributed data platforms, data pipelines, and cloud-native architectures.

Key Responsibilities:
  • Design and implement comprehensive observability frameworks to monitor performance, reliability, and availability of EDAA data platforms and services.
  • Define and track key Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Key Performance Indicators (KPIs) 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.
Required Skills and Qualifications
  • 11+ years of experience in platform 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 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