Character.AI is looking to grow its product through analytical excellence by optimizing warehouse design and performance, evolving critical product analytics systems, enabling and expanding use cases of product data, and developing a world-class data culture.
Requirements
- Experience building data warehousing and pipelines with BigQuery, Spark, DBT and Airflow
- Experience with processing and transforming unstructured data sources.
- Experience modeling and scaling event telemetry systems for analytical use-cases
- Experience implementing and supporting product experimentation data platforms
- Strong Python and SQL experience
Responsibilities
- Design, implement, and maintain a robust data warehousing design for consistent and reliable reporting and ease of data exploration as we continue to better understand our users
- Own the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Character
- Evolve data model and data schema based on business and engineering needs, help character adopt best practices
- Implement and adopt systems tracking data quality and consistency, improve pipeline performance and reliability
Other
- 5+ years experience in data engineering, preferred within a consumer-facing technology company (chat, social media, or UGC)
- Proven track record of cross-functional execution and collaboration
- NYC Preferred, SF Bay Area OK
