Data Architect

Cognizant•Bridgewater, NJ

About The Position

We are Cognizant AIA - Artificial Intelligence and Analytics !! 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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!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 provide businesses with 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. Data Architect Job Summary: We are seeking a highly skilled professional who can design, implement, and optimize enterprise data architecture while also developing end-to-end technology solutions aligned with business objectives. This hybrid role combines data architecture expertise with solution design leadership, ensuring robust, scalable, and secure systems that meet organizational needs.

Responsibilities

Design and maintain data models, schemas, and integration frameworks for structured and unstructured data.
Develop and enforce data governance, security, and compliance standards.
Optimize data storage, retrieval, and performance across cloud and on-prem environments.
Lead data migration strategies, ETL processes, and data quality initiatives.
Translate business requirements into technical solutions and architectural blueprints.
Define solution architecture standards, ensuring scalability, reliability, and cost efficiency.
Evaluate and recommend technologies, platforms, and integration patterns.
Provide technical leadership during solution implementation and ensure adherence to best practices.
Partner with business stakeholders, project managers, and development teams to deliver solutions.
Document architecture decisions and maintain knowledge repositories.