• 10+ years of hands-on experience working in a SasS company as an Enterprise Architect with a strong emphasis on data governance and compliance
• Minimum 5+ years of experience as a Data Architect, Data Engineer, or a similar role
• An expert in data lifecycle management: data definition, data lineage, data quality, data cleansing, and retention
• Good understanding of the lifecycle of ML enabled products
• Strong communication skills to work with cross functional teams and stakeholders to build partnerships, educate on ML Data requirements and advocate an ML first data architecture approach
• A strong systems background in one of the Cloud environments
• Deep knowledge of methods and tools to accomplish data governance in a globally distributed environment
• Designed and architected scalable metadata architecture
• Good experience with threat modeling and privacy impact assessments