Responsibilities
- Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business.
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units.
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth.
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity.
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support.
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture.
Work Arrangement
Remote (Worldwide)
Team
Structure: remote-first team spanning over 15 countries
