Observability Engineer, Anaplan

• 3–5 years of experience in an observability, data engineering, or SRE/platform engineering role focused on systems data and telemetry
• Strong programming skills (Python preferred) and experience with data pipeline frameworks (Airflow, DBT, or similar)
• Proficiency with telemetry and observability tools (Datadog, Grafana, Prometheus, Splunk, or Elastic)
• Experience designing structured data models to support both operational monitoring and strategic reporting
• Ability to thrive in fast-paced, cross-functional environments with evolving priorities
• Must be based near one of our office hubs to work hybrid schedule: San Francisco, San Ramon, Minneapolis, Miami, or New York

Desirable

• Join the Anaplan IT Corporate Data Analytics Team, a fast-moving, high-impact team of engineers and analysts building scalable data solutions that empower decision-making across Anaplan’s IT organization
• From infrastructure and enterprise applications to service management and software lifecycle, we help IT teams see, understand, and improve their operations, with data at the core
• If you’re energized by systems thinking, telemetry data, and unlocking new visibility across IT, you’ll feel right at home here
• As an Observability Engineer on the Corporate Data Analytics team, you’ll bridge the gap between real-time system monitoring and strategic insight
• This role blends classic observability engineering — instrumenting systems, building telemetry pipelines, surfacing alerts — with data modeling and analytics-oriented thinking to create structured, reusable layers of IT observability data that support both reactive operations and proactive analysis
• You’ll partner with analysts, engineers, and IT leadership to make sure our platforms aren’t just visible — they’re explainable, measurable, and continuously improving
• Build and maintain observability pipelines that transform logs, events, and metrics into structured data models used for dashboards, diagnostics, and longer-term trend analysis
• Partner with IT Infrastructure, Enterprise Apps, and Support teams to define service health metrics, SLOs, and platform KPIs that align with both real-time monitoring and strategic analytics
• Develop and maintain dashboards and telemetry interfaces using tools like Grafana, Datadog, and Tableau — balancing immediacy and analytical depth
• Create instrumentation and automations (Python preferred) that enrich observability data and support anomaly detection, operational triggers, and decision intelligence
• Collaborate with analysts to define reusable metric definitions, dimensional structures, and source-of-truth datasets for IT performance analysis
• Champion consistency, quality, and reusability of observability data across business-critical platforms like ServiceNow, Salesforce, and Workday
• You’ll help build the systems that help IT see across the enterprise, from real-time incident response to long-term capacity and performance trends
• Your work will power both the operational heartbeat of our platforms, the strategic conversations that guide their evolution, and empower our AI governance and operational teams