About us: Multi Media LLC is a leader in digital innovation, focusing on creating modern products for the content creator community. Our main platform, Chaturbate, is a key player in the adult entertainment industry, bringing billions of people together worldwide. We aim to make Chaturbate the best place for users and creators to interact and connect, offering a safe, creative, and engaging space for everyone.
We’re looking for a Senior Data Engineer with a strong infrastructure focus to help us build and operate the foundation of our data platform. In this role, you will bridge data engineering and platform operations, as well as designing systems for ingestion, transformation, and observability at scale. You’ll help define architecture patterns, implement strong data pipelines, and optimize the performance and reliability of our entire data ecosystem. This will be a rewarding opportunity if you are looking for a role where you can make a significant impact on a product with millions of users and petabytes of data.
What you’ll do:
- Data Architecture and System Design
- Design a well-partitioned and clustered data warehouse that minimizes cost while letting analysts self-serve fast queries
- Define patterns for scalable and efficient data storage, partitioning, and access
- Architect batch and streaming systems to enable reliable data movement and transformation
- Pipeline Development and Maintenance
- Build and maintain end-to-end ETL/ELT pipelines using tools like Airflow, dbt, and dlthub
- Implement strategies for schema evolution, backfilling, and safe migration
- Automate ingestion from APIs, event streams, file drops, and third-party sources
- Data Quality and Observability
- Implement validation frameworks, anomaly detection, and unit tests across pipelines
- Monitor data health and build resilient processes for issue detection and resolution
- Platform and Tooling
- Contribute to internal tooling, documentation, and engineering standards
- Support CI/CD workflows for data pipelines and analytics code
- Optimize compute/storage usage and recommend architectural or cost-saving improvements