Responsibilities
- Develop and maintain high-throughput, low-latency ELT workflows for centralized data storage
- Work with Product Managers, ML Engineers, Data Scientists, and DevOps to establish a robust, scalable, and secure data architecture
- Uphold data warehouse standards, data integrity practices, and metadata governance protocols
- Own specific components of the data warehouse, driving improvements in stability and efficiency
- Lead and contribute to architectural evaluations and system design sessions with technical recommendations
- Collaborate with team members, sharing expertise and fostering a culture of excellence and ongoing development
Responsibilities
- Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing
- Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture
- Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes
- Take responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability
- Conduct architecture reviews and participate in system design discussions to provide technical input
- Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning
