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What does it really mean to treat data as a product? Why is Data Mesh becoming the go-to framework for global enterprises? And how is PayPal applying these ideas at scale?In this episode of Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Jay Sen, Director of Data Engineering at PayPal, to unpack the evolving world of enterprise data. With over a decade of experience modernizing data ecosystems, Jay shares his journey from early Hadoop clusters to architecting data-driven systems that power one of the world’s leading digital payments platforms.In this episode, you’ll learn:• What “Data as a Product” really means in practice• The misconceptions and myths around Data Mesh• How PayPal applied Data Mesh principles to real business challenges• The cultural and technical hurdles enterprises must overcome• Why governance, ownership, and discoverability are key to scaling data systems• Practical advice for data leaders and engineers trying to replicate this modelIf you’re a data engineer, data leader, or enterprise architect, this conversation will give you a front-row seat to how leading organizations are rethinking data for the next decade.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy watch?Because this is not just about buzzwords. It’s about turning data into real business value. Whether you’re exploring Data Mesh, Data Fabric, or Data Lakes, Jay’s insights cut through the noise and highlight what actually works in enterprise contexts.About Jay Sen:Jay Sen is the Director of Data Engineering at PayPal, where he leads initiatives to modernize and scale enterprise data systems that power one of the world’s largest digital payments platforms. With over a decade of experience spanning Hadoop clusters, cloud-native architectures, and advanced data governance, Jay has been at the forefront of transforming how enterprises treat data as a product. His work focuses on building resilient, discoverable, and business-aligned data ecosystems—bridging the gap between technology and organizational culture. Known for his practical insights and leadership in applying frameworks like Data Mesh, Jay continues to shape how global enterprises unlock the real value of their data.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com
By TechDogsWhat does it really mean to treat data as a product? Why is Data Mesh becoming the go-to framework for global enterprises? And how is PayPal applying these ideas at scale?In this episode of Discover Dialogues, host Vikramsinh Ghatge, Sr. Marketing Director and EIC at TechDogs sits down with Jay Sen, Director of Data Engineering at PayPal, to unpack the evolving world of enterprise data. With over a decade of experience modernizing data ecosystems, Jay shares his journey from early Hadoop clusters to architecting data-driven systems that power one of the world’s leading digital payments platforms.In this episode, you’ll learn:• What “Data as a Product” really means in practice• The misconceptions and myths around Data Mesh• How PayPal applied Data Mesh principles to real business challenges• The cultural and technical hurdles enterprises must overcome• Why governance, ownership, and discoverability are key to scaling data systems• Practical advice for data leaders and engineers trying to replicate this modelIf you’re a data engineer, data leader, or enterprise architect, this conversation will give you a front-row seat to how leading organizations are rethinking data for the next decade.🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubWhy watch?Because this is not just about buzzwords. It’s about turning data into real business value. Whether you’re exploring Data Mesh, Data Fabric, or Data Lakes, Jay’s insights cut through the noise and highlight what actually works in enterprise contexts.About Jay Sen:Jay Sen is the Director of Data Engineering at PayPal, where he leads initiatives to modernize and scale enterprise data systems that power one of the world’s largest digital payments platforms. With over a decade of experience spanning Hadoop clusters, cloud-native architectures, and advanced data governance, Jay has been at the forefront of transforming how enterprises treat data as a product. His work focuses on building resilient, discoverable, and business-aligned data ecosystems—bridging the gap between technology and organizational culture. Known for his practical insights and leadership in applying frameworks like Data Mesh, Jay continues to shape how global enterprises unlock the real value of their data.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com