Chief Data Observability Strategist

6 days ago


Shimoga, Karnataka, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Establishing a strong observability practice is crucial for any organization seeking to enhance the reliability and performance of its data platforms.

The Data Platform Observability Lead plays a pivotal role in establishing and advancing observability, monitoring, and reliability practices across the Enterprise Data & Analytics (EDAA) 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.
Required Skills and Qualifications:

11+ years of experience in platform engineering, site reliability engineering (SRE), DevOps, or observability roles.

Proficient with ETL Pipeline's.

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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