Responsibilities
- Design and architect high-quality data systems and pipelines using the latest industry standards.
- Lead the development of complex data models and transformations leveraging Snowflake and dbt.
- Design and implement efficient workflow automation layers using Apache Airflow for complex dependency handling.
- Ensure environment consistency and deployment reliability by managing Docker, Kubernetes, and GitLab CI/CD pipelines.
- Take full ownership of the data product lifecycle, driving projects from initial inception through to successful production deployment.
- Provide guidance and management to the team, ensuring best practices in Python, SQL, and Bash scripting are maintained across the codebase.
Requirements
- Advanced proficiency in Python, SQL, and Bash for complex data processing and scripting.
- Deep experience with Snowflake as a primary data warehouse and dbt for robust transformations.
- Hands-on experience with Apache Airflow for managing and monitoring sophisticated data workflows.
- Practical knowledge of containerization and CI/CD tools, specifically Docker, Kubernetes, and GitLab.
- A proven track record in System Architecture and Team Leadership/Management.
- Excellent verbal and written communication skills for daily technical collaboration and leadership.
Nice to Have
- Experience building interactive data applications and dashboards using Streamlit.
- Specific experience in building automated systems focused on data validation and quality generation.
- Demonstrated ability to have shipped multiple data-centric products in a fast-paced environment.
Team
Structure: high-impact team
Additional Information
- This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT).
- Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within Central US business hours.
- All interviews, documentation, and daily communication are in English.
