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Observability Engineer – IT Corporate Data Analytics
| Company | Anaplan |
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| Location | New York, NY, USA |
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| Salary | $147000 – $198000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- 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.
Responsibilities
- 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.
Preferred Qualifications
- Background in analytics, metrics engineering, or KPI frameworks supporting IT/business operations.
- Experience integrating observability data into BI/analytics tools like Tableau or Snowflake.
- Familiarity with IT service management (ServiceNow), enterprise platforms (Workday, Salesforce), or related domain data models.
- Exposure to AI observability concepts, including use of vector databases, retrieval-augmented generation (RAG), or other supporting components behind modern AI-powered infrastructure.
- Experience building frontend components or web applications, with working knowledge of how UI elements connect to backend services and data sources.
