Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500, and we are among the top performing and fastest growing companies in the world.A *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* Practice - 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 Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 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 illuminating, relevant intelligence. Sr. Data Architect Perform the Data Architect activities Soft Skills Ability to guide and upskill talent within the organization. Thought leadership and mentoring. Good social skills. Deep collaboration skills: Ability to work as a teammate seeking alignment and able to influence business outcomes. Education Bachelors degree or equivalent experience in computer science or related field Masters degree or equivalent experience in computer science or related preferred Responsibilities The Senior Data/Information Architect will lead the design and implementation of enterprise data architecture solutions for key pivotal initiatives. As the chief SME architect you will demonstrate your extensive expertise in data architecture governance integration and analytics to deliver hands-on solutions that align with business outcomes. This role requires a combination of technical expertise critical thinking and leadership skills to guide data and BI analytics initiatives ensuring data strategies are aligned with business goals and that PSS data is accessible secure and valuable across the organization. You will also play a pivotal role in advancing the organizations modernization journey in alignment with the Enterprise data strategy. A key to success in this role is a unique blend of data management skills business knowledge and the ability to work with and influence multiple multi-functional teams within IT and business to identify the right solutions. A. Architecture and design reviews: Lead the design and implementation of end-to-end scalable secure and efficient data/information architectures across the PSS Data LOB. Play a key leadership role in architecture design reviews identifying gaps and recommending design changes. Actively lead and participate in the architecture community to drive modernization opportunities for the advancement of PBM technology while considering the complexities of our IT landscape. Develop strategies for data storage integration and retrieval across structured and unstructured data systems. Establish data models and architecture that support data lakes data warehouses and cloud-based systems. Drive architecture reviews identify gaps and recommend design improvements. b. Data Integration & Management: Design solutions that enable the seamless data flow between source systems applications and cloud platforms. Guide data lifecycle management from data collection processing storage archival and disposal. Develop real-time and batch processing solutions that enables effective analytics and reporting. Feed data integration and interoperability enabling seamless data sharing by solving complex data integration problems using optimal ETL/ELT patterns frameworks and query techniques. c. Business Intelligence and Analytics: Collaborate with data engineering BI analytics and data science teams to ensure data architecture supports business needs. Lead the development of data models and architectures that empower business users to derive actionable insights. d. Reference architecture and implementation: Providing leadership in assembling reference architectures to support cloud migration and cloud-native applications. Develop and maintain architecture design documents roadmaps design patterns and use-case driven designs. e. Leadership and Innovation: Provide oversight from project inception to delivery guiding data engineers BI engineers data modelers and architects. Stay updated on industry trends and powerful technologies related to data/information architecture, cloud computing, analytics, and AI. f. Technology Evaluation and Selection: Lead build vs buy analysis and recommend tools and technologies based on qualitative and quantitative evaluations. Oversee proofs-of-concept and deep-dives into partner technologies. g. Collaboration & Partner Engagement: Work with business leaders data stewards security digital and engineering teams to ensure alignment with business objectives. Mentor and coach data engineers and architects and supply data governance ensuring data integrity quality security and compliance. h. Security and Compliance: Ensure data/information architectures meet security privacy and regulatory requirements. Implement robust data security frameworks including encryption data masking and access controls. i. Cost optimization identification: Collaborate with partners to see opportunities to reduce costs through simplification configurability and reduction of technical debt. j. Growth: Opportunity to expand towards leadership role as relevant and appropriate performance and skill-based opportunity. Required Qualifications demonstrated ability in designing developing and leading large-scale data architectures including data lakes data warehouses and cloud environments (Azure preferably Google Cloud) 8+ years of experience in cloud native-data architectures data integration API-base data integration ELT/ETL batch and real-time data processing. Expertise in cloud design and architecture (Azure AWS preferably GCP) to deliver large-scale distributed solutions. Demonstrated talent in recognizing business priorities and aligning data/information architecture strategies accordingly. Tried leadership in multi-functional teams and fostering data-driven culture. Extensive knowledge of data modeling data governance database design data warehousing ETL/ELT processes and data technologies Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time Off401(k) plan and contributionsLong-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Salary and Other Compensation: Posting End date 05/11/2025 The annual salary for this position is between $120,000 – $ 140,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time Off401(k) plan and contributionsLong-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to demonstrate the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.