Data Technical ManagerPuede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.Cognizant DATA AI is seeking an experienced and strategic Data Technical Manager to lead our data initiatives, oversee our cloud data infrastructure, and manage cross-functional data projects. In this role, you will be the bridge between technical execution and business strategy. You will own the end-to-end delivery of data solutions utilizing Snowflake, AWS, and Azure, while applying strong Project Management methodologies to ensure projects are delivered on time, within scope, and aligned with business objectives. Key Responsibilities Data Strategy Cloud Architecture - Technical Leadership: Guide the data engineering and analytics teams in designing scalable data pipelines, ETL/ELT processes, and data modeling best practices. - Vendor Resource Management: Manage relationships with cloud service providers and evaluate new tools to enhance the modern data stack. Project Team Management - End-to-End Project Delivery: Act as the primary project manager for all data initiatives, leading projects from initial scoping and requirement gathering to deployment and maintenance. - Stakeholder Communication: Translate complex technical data concepts into actionable business insights for non-technical stakeholders and executive leadership. - Resource Allocation: Manage project timelines, assign tasks to data engineers and analysts, and mitigate risks or roadblocks during the project lifecycle. Required Qualifications - Experience: 8+ years of experience in data management, data engineering, or a closely related technical field, with at least 2+ years in a leadership or project management role. - Cloud Platforms: Proven hands-on experience managing data ecosystems within AWS (e.G., S3, Glue, RDS) and Microsoft Azure (e.G., Data Factory, Synapse, Blob Storage). - Data Warehousing: Deep expertise in Snowflake/Databricks architecture, compute optimization, role-based access control (RBAC), and data sharing. - Languages: Proficiency in SQL and a strong understanding of Python or other scripting languages used in data engineering. Preferred Qualifications - Certifications in AWS, Azure, or Google - Experience with BI/Visualization tools (e.G., Tableau, Power BI, Looker). The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. - Cognizant is a global community with more than 300,000 associates around the world. - We dont just dream of a better way - we make it happen. - We take care of our people, clients, company, communities and climate by doing whats right. - We foster an innovative environment where you can build the career path thats right for you. About us: Cognizant is one of the worlds leading professional services companies, transforming clients business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes Worlds Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at 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, state or local laws. Disclaimer: 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. Applicants may be required to attend interviews in person or by video conference. xhfqzwm In addition, candidates may be required to present their current state or government issued ID during each interview. AWS, Azure,