Responsibilities
- Design and manage data ingestion and transformation workflows that move data from raw to refined layers across multiple clients.
- Take full responsibility for multi-tenant data architecture, ensuring efficiency and cost-effectiveness in Postgres and ClickHouse environments.
- Establish clear guidelines for dataset setup, key performance indicators, and data reconciliation to maintain accuracy and trustworthiness.
- Develop robust, monitorable data pipelines and lead initiatives to ensure high data quality standards.
- Guide data and product engineering teams through mentorship and thorough review of critical data projects.
Benefits
- Immediate ownership and significant influence in a key role.
- Attractive salary package with substantial equity participation.
- Regular interaction with founding team members and actual end users.
- Fully remote work environment with global team distribution.
- Chance to shape an AI-first product from initial development stages.
Compensation
Competitive compensation and meaningful equity
Work Arrangement
Remote (Worldwide)
Team
Direct collaboration with founders and real users
Other
- Remote-first flexibility
- Direct collaboration with founders and real users
