Related skills
bigquery salesforce snowflake sql dbt📋 Description
- Own data definition, structure, and reliability for revenue platforms.
- Own GTM tables/views for revenue execution and forecasting.
- Design and evolve core GTM data models across Salesforce, ETL, analytics.
- Align GTM schemas with enterprise data models with Data Engineering.
- Ensure revenue data is interpretable and reflects business operations.
- Monitor and improve pipeline reliability, performance, and scalability.
🎯 Requirements
- 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
- Deep experience designing and operating production data pipelines
- Highly proficient in SQL and experienced in data modeling
- Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
- Experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
- Understand Salesforce data models and common GTM system architectures
🎁 Benefits
- Equity and comprehensive benefits
- Collaborative, fast-moving team culture
- Equal opportunity employer; accommodations available
- Opportunity to shape Mercury's revenue data platform at scale
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