Senior Data Engineer (Snowflake + GCP)

Requirements

• Strong experience with SQL and Snowflake for data transformation, modeling, and analytics
• Advanced proficiency in Python for data processing and transformation workflows
• Hands-on experience building ETL/ELT pipelines using dbt, Airflow, or similar data engineering tools
• Practical experience with GCP or AWS data platforms and cloud-based data engineering solutions
• Solid understanding of CRM data models, including leads, contacts, accounts, and opportunities
• Exposure to Salesforce SOQL, Salesforce Data Cloud, or Salesforce data models (as a plus)
• Familiarity with data enrichment platforms such as ZoomInfo, Dun & Bradstreet (D&B), or similar solutions (as an advantage)
• Build and optimize scalable data pipelines across Snowflake, GCP, and Salesforce Data Cloud to support GTM operations
• Own the development and maintenance of reliable ETL/ELT workflows, ensuring data availability, quality, and efficient processing
• Collaborate with engineers, Product Managers, and business stakeholders to translate GTM requirements into practical data solutions
• Model and maintain data assets covering advertiser identity, lead enrichment, revenue, customer, and CRM data
• Develop and optimize SQL queries for data transformation, reporting, analytics, and downstream consumption
• Implement data quality controls, validation processes, and schema consistency across GTM data marts
• Support ongoing platform enhancements, troubleshooting, and optimization to improve reliability and performance