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), 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.

This isn’t just about keeping the lights on. 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.

 

Base Salary Range:$147,000—$198,000 USD

Our Commitment to Diversity, Equity, Inclusion and Belonging 

Build your career in a place that thrives on diversity, equity, inclusion, and belonging. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. 

Fraud Recruitment Disclaimer 

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.  

Anaplan does not: 

• Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.  
• Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. 

All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.