Observability Engineer - IT Corporate Data Analytics

At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. Our customers rank among the who’s who in the Fortune 50. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins.

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.
• 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.