Revenue Systems Engineer: Snowflake Data + AI Automation

Sonder.io

Sydney

On-site

AUD 150,000 - 210,000

Full time

8 days ago
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Benefits offered by this job

Hybrid and flexible workingenvironment
Free Sonder app access 24/7 support
Parental leave
Employee ESOP
Dog-friendly office in Sydney HQ
Volunteer leave

Job summary

Sonder is seeking an experienced engineer to join the Commercial function in Sydney. You’ll build and maintain revenue data structures and Snowflake models, and move AI-powered automations from prototype to reliable production, with strong focus on accuracy and governance.

You’ll collaborate directly with Sales, Marketing, Customer Success and Finance, own end-to-end data pipelines, and help scale our data-driven revenue operations as we grow across APAC and beyond.

Qualifications

  • 5+ years in software, data or integration engineering.
  • 2+ years as sole or primary engineer accountable for a production system.
  • Experience integrating business systems via REST APIs, webhooks, and serverless functions, including at least one CRM or billing platform.
  • dbt SQL modelling in production against a cloud warehouse, with tests and CI.
  • Experience with at least one CRM or billing platform.
  • Ability to work directly with Sales, Marketing, Customer Success and Finance to understand processes.

Responsibilities

  • Build and maintain revenue data structures and Snowflake models.
  • Move automations from prototype to production with safeguards and cost controls.
  • Collaborate with Sales, Marketing, CS and Finance to understand data needs.

Skills

Software engineering
Data engineering
Integration engineering
SQL modelling
LLM/Agent automation
Cross-functional collaboration

Tools

Snowflake
dbt
REST APIs
Webhooks
Serverless
CI

Job description

Sonder is seeking an experienced engineer to join the Commercial function in Sydney. You’ll build and maintain revenue data structures and Snowflake models, and move AI-powered automations from prototype to reliable production, with strong focus on accuracy and governance.

You’ll collaborate directly with Sales, Marketing, Customer Success and Finance, own end-to-end data pipelines, and help scale our data-driven revenue operations as we grow across APAC and beyond.

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