Lead and drive the full data engineering lifecycle, including architectural design, conceptualization, data modeling, implementation, and operational management of complex data systems.
Architect, build, and maintain robust, highly scalable data infrastructure, including real-time and batch ETL/ELT data pipelines, utilizing orchestration tools like Apache Airflow.
Drive the development and continuous improvement of the organization's lakehouse and data warehouse by designing advanced data models and applying modern data transformation practices with tools like dbt.
Design and automate scalable data processes by integrating diverse systems, APIs, and third-party services to ensure fault-tolerant data flow and synchronization.
Define and enforce best practices for data governance, quality, and lineage, while establishing comprehensive monitoring and alerting frameworks to ensure system reliability at scale.