Senior Analytics Engineer

Build and maintain reusable analytical data products across Temporal's business domains.

Define canonical entities, shared dimensions, purpose-built marts, metric components, explicit grains, keys, lineage, and history behavior.

Design and maintain core parts of the Omni semantic layer and certified Topics, with clear definitions for measures, dimensions, joins, and time handling.

Establish and improve standards for modeling, metric implementation, documentation, and change management. Build automated checks for freshness, completeness, uniqueness, and relationships between datasets…

Advanced SQL experience, including the ability to reason about correctness, performance, and maintainability.

Working proficiency in Python to build and maintain jobs that create and alter tables in the data lake.

Experience with data transformation frameworks such as DBT, SQLMesh, etc.

Data mart design experience using modeling techniques such as dimensional and entity centric modeling.