- Design, build, and maintain scalable batch, real-time streaming, and event-driven data pipelines from on-premises and cloud sources.
- Own development of the Snowflake data platform, including performance, modeling, and storage structures.
- Build transformation pipelines that deliver high-quality data to Snowflake and dbt AI features.
- Design and maintain semantic layers and metadata models for natural-language interfaces.
- Establish reference architectures, templates, and CI/CD best practices for decentralized line-of-business teams.
- Manage and provide career mentorship to one data engineer.
- Guide domain data analysts in improving their engineering practices.
- Drive adoption of dbt and explore AWS and Azure data tools to optimize data flow.