- Define and own the data platform architecture, technical standards, and coding practices.
- Evaluate data technologies and contribute to the platform roadmap, including performance and cost optimization.
- Design, build, and maintain scalable Python ETL/ELT pipelines using AWS Glue.
- Drive analytical data models and the semantic layer for self-service BI and advanced analytics.
- Build integrations between the data platform and internal or third-party systems.
- Author, optimize, and maintain SQL and database objects in Redshift.
- Operate and optimize AWS data infrastructure, including Glue, S3, Redshift, and Athena.
- Own data quality, governance, and platform reliability, including monitoring, alerting, and incident response.
- Partner with data science and ML teams on data preparation, feature engineering, and model monitoring.
- Set technical standards through code review, architecture decisions, and hands-on mentorship.