Responsibilities
- Architecting, constructing, and maintaining robust data pipelines using current ETL and ELT methodologies
- Building and managing cloud-based data platforms, mainly on AWS, with some use of Azure when necessary
- Utilizing tools including Databricks, PostgreSQL, Aurora, and distributed data processing systems
- Delivering production-grade solutions that are secure, thoroughly tested, observable, and optimized for cost
- Improving data system performance, stability, and integrity in operational environments
- Partnering with data analysts, data scientists, AI specialists, and platform engineering teams
- Guiding less experienced engineers and helping shape team-wide standards and reusable tools
