The talk will open with examples of different data requirement of different organizations at different stages in their data journey and introduce the classic architectural choices that can be adopted to solve them. This will lead us to an in-depth discussion on one of the most popular architecture choice - ELT and how modern data tools and technologies fit into the ELT paradigm with target architectures proposed for example use cases viz, Regulatory reporting, customer-facing graphical data representation, real-time ML inferencing and internal data driven decision making process. The talk will be closed with a discussion on Modern Data Architecture pillars viz, Data Lakes, Analytics Engineering, Data Mobility, Data Governance, Data Observability, Performance and Cost-effectiveness.