Teams at CarTrawler

Build and optimize scalable data pipelines, models, data products, and data applications using Snowflake, dbt, Airflow, AWS, SQL, and Python. Ensure data quality through testing, documentation, and standardized ETL/ELT practices. Optimize warehouse performance, scalability, and cost efficiency while troubleshooting data processes and partnering with Product and Technology engineering teams.

Build and evolve Salesforce Service Cloud, Agentforce, AI agents, customer channels, and resilient integrations. Develop Apex, SOQL, Flow, and Lightning Web Components solutions; configure Omni-Channel; implement automation, monitoring, testing, and release practices; and evaluate AI performance using operational data. Partner with customer contact and technology teams to translate business needs into secure, scalable solutions while deciding appropriately between Salesforce configuration, custom development, deterministic automation, and generative AI.

Analyze complex customer and business datasets, translate findings into actionable insights, and own key reporting and dashboards. The role develops automated and self-service reporting, supports forecasting, trains colleagues in data interpretation, and explores AI-enabled insights, alerts, and workflows. Success requires strong Excel or Google Sheets and SQL skills, data visualization experience, collaborative communication, and an interest in AI and automation.