Data Platform Expert Leader

3 days ago

Mangalore, Karnataka, India beBeeObservability Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Us

One of the world's largest employers, we have locations in more than 100 countries.

Job Summary:

We are seeking a Data Platform Observability Lead to establish and advance observability, monitoring, and reliability practices across our Enterprise Data & Analytics Platforms landscape.

Key Responsibilities:
  • Design and implement comprehensive observability frameworks to monitor performance, reliability, and availability of EDAA data platforms and services.
  • Define and track key SLIs, SLOs, and 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, 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.
  • Mentor and coach engineers and analysts on observability concepts and tools to build a culture of shared ownership and resilience.
Skill Requirements:
  • 11+ years of experience in platform engineering, site reliability engineering (SRE), DevOps, or observability roles
  • Proficient with 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

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