Senior Analytics Engineer: Architect Reusable Data Products

Temporal; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Temporal Technologies seeks a Senior Analytics Engineer to build reusable analytical models, tools, and systems powering decisions across the company. You will own data modeling, marts, and the Omni semantic layer, ensuring governance and reliable metric definitions across domains.

You will work with Data Platform, Trust, Data Science, and business functions to deliver practical, scalable analytics while maintaining data quality and self-service capabilities.

Qualifications

• Advanced SQL with a focus on correctness, performance, and maintainability.
• Proficiency in Python to build and maintain data-lake jobs.
• Experience with data transformation tools such as DBT, SQLMesh, etc.
• Experience in data mart design using dimensional and entity-centric modeling.
• Experience implementing and maintaining a semantic layer and governed metrics.
• Strong knowledge of grain, keys, history, lineage, contracts, and quality controls.
• GIT, code reviews, CI/CD, and production ownership.
• Ability to translate ambiguous questions into reusable data products.
• Demonstrated ability to improve self-service while maintaining shared definitions.

Responsibilities

• Build and maintain reusable analytical data products across Temporal's business domains.
• Define canonical entities, shared dimensions, marts, metric components, grains, keys, lineage, and history behavior.
• Design and maintain core parts of the Omni semantic layer and certified Topics with clear definitions.
• Establish and improve standards for modeling, metrics, documentation, and change management with automated checks.
• Reduce duplicated logic across source tables, marts, dashboards, notebooks, and analytical agents.
• Partner with Data Platform and Trust on deployment, orchestration, observability, access controls, and cost.
• Collaborate with Data Science on feature tables, model outputs, and monitoring.
• Turn ambiguous questions into precise definitions and reusable products.
• Enable qualified contributors outside DEA through sandboxes, templates, and review processes.
• Document contracts, metadata, ownership, quality status, and retrieval guidance.

Skills

Advanced SQL

Python

DBT

Looker / semantic layer

Data modeling

Data governance

Git / CI/CD

Stakeholder collaboration

Ambiguity handling

Tools

S3

Athena

Iceberg

Hive

Looker

Omni Analytics

Job description

Temporal Technologies seeks a Senior Analytics Engineer to build reusable analytical models, tools, and systems powering decisions across the company. You will own data modeling, marts, and the Omni semantic layer, ensuring governance and reliable metric definitions across domains.

You will work with Data Platform, Trust, Data Science, and business functions to deliver practical, scalable analytics while maintaining data quality and self-service capabilities.