'Data Platforms- Architecture (Datalake on AWS, Snowflake) Hands-on experience on AWS (AP gateway, Lambda, Glue, IAM, Lake formation, Cross account data sharing), Python, Snowflake API, Tokenization, Encryption Resource would be in architecture role and also required to be hands-on like building API and components based on guidance from arch team Supporting our Chase-wide migration of data and consumers from legacy analytical data platforms to strategic data platforms Partnering with Program, Data Platforms, data delivery, engineering teams, and data owners to modernize their data pipelines and products Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Work on proof-of-concepts for evolving data integration patterns closely working with the underlying platforms and frameworks groups. Identify new opportunities to improve data products and provide input and support to the business driving adoption Document patterns and practices using up-to-date approaches including cloud and event driven architectures Drives decisions that influence data product design,



application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of functional domain such as cards, operations, lending, etc. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Receiving Formal training on Data Architecture and AWS Cloud Experience Develop and review architecture and design documentation while identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy and drive architecture governance process(es) Act as highest-level technical expert, resolving issues, assessing any potential risks and identifying solutions across the portfolio Designing systems for high availability, scale, and compliant data exchange with operational stability Hands-on working experience in data processing and transformation frameworks to enable data productization development (e.g.

ETL/ELT, Hadoop, Spark, Databricks, etc.) at scale by building large scale data pipelines in batch and streamining

📌 Cloud Data Architect (India)
🏢 Virtusa
📍 India