Job Summary
Architect role in a global organization responsible for designing scalable data and cloud solutions using AWS Cloud SQL data catalog and data integration capabilities. The role focuses on optimizing performance ensuring data reliability and enabling secure hybrid analytics platforms that empower business teams working with devices domain insights while operating in a day shift hybrid work model.
Responsibilities
Design robust end to end data architectures on AWS Cloud that support complex analytics and operational workloads while ensuring scalability reliability and efficiency across hybrid environmentsDevelop and refine data integration patterns that consolidate information from diverse enterprise and devices domain sources into unified and trusted data platformsOptimize SQL queries and database structures with advanced performance tuning techniques to deliver consistent low latency responses for critical business applicationsImplement secure data catalog solutions that standardize metadata management improve discoverability of data assets and enhance governance and compliance across the organizationCollaborate with cross functional stakeholders to translate strategic business requirements into practical data and cloud solution designs that deliver measurable outcomes for customers and societyEstablish best practices for data ingestion transformation and storage that balance performance cost and resilience while aligning to enterprise architecture standardsProvide technical guidance to project teams on AWS cloud services SQL optimization methods and data integration tools to ensure solutions are robust maintainable and aligned with architectural principlesReview and validate solution designs and implementation approaches to confirm adherence to nonfunctional requirements such as scalability reliability security and performanceCreate detailed technical documentation including architecture diagrams data flow specifications and configuration guidelines that support long term maintainability and knowledge sharingDrive continuous improvement of data platforms by evaluating emerging cloud and data technologies and proposing pragmatic enhancements that strengthen analytics capabilities and business agilityCoordinate with operations and support teams to ensure smooth deployment monitoring and incident resolution for data and cloud solutions minimizing disruption to day shift hybrid usersAdvocate for responsible and ethical use of data by embedding privacy quality and governance considerations into every architectural decision thereby contributing to positive societal impactCollaborate within the hybrid work model using virtual and onsite interactions to maintain strong communication alignment and timely delivery of architectural outputs without requiring travel
Qualifications
Demonstrate extensive experience in architecting solutions on AWS Cloud including design of compute storage networking and security configurations that meet enterprise standardsPossess strong proficiency in SQL with hands on expertise in performance tuning indexing query optimization and schema design for high volume transactional and analytical workloadsShow proven capability in implementing and managing data catalog platforms that organize metadata enable data lineage tracking and streamline user access to trusted datasetsExhibit solid experience in data integration using batch and real time patterns across heterogeneous systems ensuring reliable data movement transformation and reconciliationBring practical understanding of devices domain data such as telemetry sensor readings and usage metrics and be able to incorporate these patterns into architecture designs as a desirable skillApply advanced problem solving skills and structured thinking to evaluate trade offs between performance cost security and maintainability when defining solution architectures
Certifications Required
AWS Certified Solutions Architect and certification in SQL or data engineering technologies preferred
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
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