Senior Analytics Engineer
Core
Build reusable analytical models, tools, and systems to power decisions across Temporal by architecting the data layer and semantic layer.
Role type
Senior Analytics Engineer
Builds
Reusable analytical data products, canonical entities, shared dimensions, metric definitions, and data marts.
Domain
SaaS / Data Engineering
Deliverable
production ML models
Required skills
Advanced SQL, Python, DBT, SQLMesh, dimensional modeling, semantic layer design, data governance, CI/CD, automated testing
Preferred skills
Open lakehouse architecture (S3, Athena, Iceberg), Omni Analytics, Looker, orchestration systems, usage-based B2B SaaS experience
Technologies
SQL, Python, DBT, SQLMesh, Git, CI/CD, S3, Athena, Iceberg, Hive, Omni Analytics, Looker
Responsibilities
Build and maintain reusable analytical data products; Define canonical entities and shared dimensions; Design and maintain the Omni semantic layer; Establish standards for modeling and metric implementation; Reduce duplicated logic across data sources and dashboards; Partner with Data Platform on deployment and reliability; Partner with Data Science on feature tables and model consumption; Translate ambiguous business questions into precise definitions and reusable models.
Seniority
Senior, hands-on IC