5 days ago
Responsibilities
- Lead the design and implementation of data pipelines and infrastructure.
- Own the data warehouse architecture for performance and scalability.
- Set technical standards for data modeling and pipeline development.
- Identify bottlenecks and build solutions to improve data reliability.
- Partner with teams to understand data needs and design systems.
- Build monitoring and data quality frameworks.
- Drive data governance practices including documentation and access controls.
- Mentor and coach other engineers on the team.
Requirements
- 5+ years of experience in building and maintaining data pipelines.
- Strong proficiency with modern data stack tools like Snowflake and dbt.
- Deep experience with Python for data processing.
- Expert understanding of data modeling best practices.
- Familiarity with AWS data services and infrastructure-as-code.
- Demonstrated high agency and ownership in projects.
- Track record of building reliable systems efficiently.
- Experience mentoring engineers and enhancing team capabilities.
Benefits
- Competitive salary, equity, and role trajectory.
- Comprehensive health benefits for you and your family.
- 401(k) plan with company match.
- Unlimited PTO.
- Paid parental leave.
Tech Stack
Categories
Data Engineering