Responsibilities Interact with IT and business leaders; influence and guide IT and business decisions. Work independently and as a team player in a geo-diverse team of high performers. Qualifications 12 to 15+ years of experience in data, with at least 8 years as an Enterprise Data Architect. Expertise in data governance, metadata management, and data quality frameworks. Expertise in data privacy, and data lifecycle management policies. Solid understanding of conceptual, logical, and physical data models. Experience with AWS platform and data services. Proficient in modern data architecture paradigms such as data lakehouse, data mesh, Data Integration Hub, Data Fabric. Expertise in Lambda and Kappa Architecture. Proficient in SQL and Python. Hands-on experience of creating and modeling data warehouses. Hands-on experience of data engineering methods such as ETL and ELT. In-depth understanding of feature store and associated pipelines. Overarching knowledge of AI, and how to leverage it...