Lead Data Engineer

About This Role

Lead scalable data engineering efforts at Launch Potato, empowering cross-functional teams with reliable, timely, and actionable data. You will ensure the company's analytics and business intelligence infrastructure fuels strategic growth.

Responsibilities

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues
• 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

Requirements

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

Qualifications

• 5+ years of experience in data engineering within fast-paced, cloud-native AWS environments where data powers decision-making across product, marketing, and operations.

Skills

* Required skills

Benefits