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.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform.

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.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and be your best self!

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.

Your Impact

• 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.

Your Qualifications

• 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.

Nice to Have

• 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)