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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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.

• Build and maintain the technology platform architecture for both on premise and cloud based solution
• Responsible for architecting a new cloud data platform analyzing different emerging technology solutions that range from Microsoft Synapse, Azure data factory, Azure data lake, data bricks, HDInsights, PowerBI, Synapse or SQL DWH and more
• Responsible for owning data platform architecture and ensuring the right platforms and solutions are being used
• Explores, evaluates, recommends, and acts as the lead subject matter in emerging technology trends and proof-of-concept efforts
• Lead and manage technical data architecture assessment for firm-wide project initiatives
• Collaborate and support business teams and data office on data related initiatives
• Document and maintain the data technology platform architecture
• 3+ years of experience with Azure cloud data solutions (Azure Data Factory, Data Lake storage, data bricks, Data Explorer, Machine Learning, Azure Synapse)
• 8+ years of experience with on premise Oracle and SQL server, stored procedures, SSIS, SSAS
• Experience working in the Financial Services industry
• Experience with data architecture for business intelligence tools like Tableau supporting our users to self-support their analytical needs
• Capable of communicating clearly with business users and having detailed discussions with the technology team
• Goal-oriented team player committed to quality and detail
• Innovative thinker who is positive, proactive and readily embraces change
• Experience in building data warehouse
• Must have knowledge of snowflake architecture and implementation patterns
• Must have designed and executed at least 1 project of implementation on Azure cloud platform
• Good knowledge of Azure PaaS and IaaS
• Good knowledge of data modeling, integration and design techniques
• Must have ability to evaluate different Azure products to fit the requirements
• Must have excellent presentation skills to justify technical design decision to architecture board and senior leadership
• Must have experience in leading team/s and get execution done