• Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data • 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 • Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows • 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

• 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

• Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data • 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

• Manage and support data pipelines, ETL processes, and analytics platforms • Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting • Implement monitoring and observability using Datadog, Grafana, and Prometheus • Collaborate with DevOps and Infra teams to integrate data deployments within CI/CD pipelines • Apply infrastructure-as-code principles (Terraform, Ansible) • Support incident and request management via ServiceNow • Work closely with security and compliance teams • Participate in Agile ceremonies