Zeta is seeking a Lead Business Intelligence Engineer to design robust data models using SQL, DBT, and Redshift, driving best practices in development, deployment, and monitoring. This role involves close collaboration with product and engineering teams to ensure data quality and impactful delivery. Responsibilities include creating optimized data models, writing tests, building reports, collaborating on design documents, conducting code reviews, setting up and monitoring Airflow DAGs, and utilizing CI/CD pipelines with Kubernetes operators for deployment automation. The engineer will also ensure data quality, drive best practices in data model development, deployment, and monitoring, and mentor colleagues.