Data Engineering Manager

• Lead, scale, and mentor a team of Data Engineers
• Provide leadership and high-level management for the DBA team
• Drive critical infrastructure initiatives across streaming and batch environments
• Lead hands-on platform projects using GCP, BigQuery, dbt, and Apache Flink
• Embed AI into pipeline code, platform operations, and data access layers
• Partner with and support the DBA team to ensure transactional database reliability, uptime, and integration with the analytical platform
• Set standards for data quality, testing, observability, and cloud-resource cost optimization
• Align pipeline development with business decisions and product goals
• Write code, review pull requests, and tackle complex system problems directly

• Proven experience leading data engineering teams with a willingness to write code, review PRs, and tackle complex system problems directly
• Strong background in Google Cloud Platform, specifically BigQuery and cloud data processing
• Practical expertise with dbt for transformation models and Apache Flink (or Dataflow) for real-time streaming data
• Active user of modern AI coding assistants and automation workflows; passionate about leveraging AI to scale team impact
• Comfort managing relational database teams such as PostgreSQL/MySQL without needing to perform deep day-to-day DBA execution
• High standards for clean architecture, platform governance, and documentation
• Excellent communication skills
• Advanced English level
• Spanish speaker is a nice plus
• Equivalent competencies in the listed requirements will also be considered

• Competitive salary
• Initial stock options grant
• Annual performance bonus
• Health, dental, and vision plans
• Work model: currently fully remote, with a future transition to a hybrid set up
• Continuous learning opportunities
• Unlimited PTO
• Paid parental leave
• Empowering opportunities for growth in a dynamic entrepreneurial environment