Snowflake Data Architect

**About AI \& Analytics:** Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human\-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI \& Analytics, we work to design the future—a future in which trial\-and\-error business decisions have been replaced by informed choices and data\-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. * Please note, this role is not able to offer visa transfer or sponsorship now or in the future\* Job Summary We are seeking a Lead Data Migration Architect with deep expertise in Snowflake and enterprise data modernization to lead large\-scale migration programs from legacy platforms including SQL Server, DB2, and AS/400\. This role will define target\-state Snowflake architectures, migration strategies, reconciliation frameworks, and modernization roadmaps. The architect will leverage AI\-powered accelerators, including Gemini Enterprise, to automate schema conversion, data transformation, validation, and migration processes. The ideal candidate combines strong Snowflake platform expertise with hands\-on experience delivering complex migration and modernization initiatives. **In this role, you will:** * Define and lead enterprise data migration strategies from SQL Server, DB2, and AS/400 platforms to Snowflake. * Architect scalable Snowflake data platforms including data warehousing