Senior Analytics Engineer

The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics. Ultimately, your goal is to make it possible for every Temporal employee to produce first-class analyses.

You will work across multiple business domains, including Product, GTM, Finance, and Engineering to deeply understand their needs and build solutions that enable both people and agents to reliably answer their analytical questions. You will architect and implement the data layer that sits between our landed source data and our various user interfaces via canonical entities, shared dimensions, metric definitions, data marts, etc. That includes making core concepts such as accounts, namespaces, activation, billable usage, and revenue consistent wherever they are used.

You will take direct ownership of work that is currently distributed across the Data Engineering and Analytics team, including data modeling, data mart and Omni Topic creation, and enablement. Along with helping to align our business logic across marts and dashboards, you will create clear technical governance and controls as you work to empower stakeholders across the business.

You will work closely with Data Platform and Trust on orchestration, deployment, observability, access controls, performance, reliability, and cost. You will partner with Data Science and Applied AI on feature tables, model outputs, model consumption, and monitoring. You will work with business functions on source system hygiene, prioritization of tasks, and validating business meaning of shared metrics.

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