Data Architect / Onsite Technical Lead
About the role
As a Data Architect / Onsite Technical Lead, you will make an impact by leading enterprise data modernization initiatives and helping clients transform their data ecosystems into scalable, cloud-enabled platforms. You will be a valued member of the Data & Analytics team and work collaboratively with client business leaders, architects, cloud teams, database administrators, security stakeholders, and global delivery teams to define data strategies, guide modernization roadmaps, and deliver successful discovery and assessment engagements.
In this role, you will:
- Serve as the primary onsite technical lead, driving stakeholder engagement, discovery workshops, requirements validation, and alignment between client teams and global delivery teams.
- Assess current-state data platforms, data warehouses, integrations, reporting environments, and operational processes to identify modernization opportunities and risks.
- Define target-state data architectures and migration strategies, with a focus on cloud-based data platforms, scalability, governance, security, and performance optimization.
- Provide architectural leadership for enterprise data modernization programs involving SQL Server, Snowflake, AWS, data modeling, data integration, and analytics ecosystems.
- Collaborate with cross-functional teams to develop implementation roadmaps, align technical recommendations with business objectives, and ensure high-quality delivery outcomes.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring time in a Cognizant or client office as determined by project and business needs. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Proven experience as a Data Architect, Solution Architect, Technical Lead, or similar leadership role supporting enterprise data transformation initiatives.
- Strong expertise with SQL Server data warehouse environments, including relational data modeling, ETL processes, database optimization, and data platform modernization.
- Hands-on knowledge of Snowflake architecture, data migration strategies, performance optimization, security models, and cloud-based analytics solutions.
- Experience working with AWS services and cloud data platforms, including storage, database, networking, security, and integration capabilities.
- Strong understanding of data architecture, data governance, metadata management, lineage, data quality, security, and compliance best practices.
- Experience leading discovery, assessment, and modernization engagements, including current-state analysis and target-state architecture planning.
- Ability to facilitate workshops, manage technical stakeholders, and communicate complex concepts to both technical and business audiences.
- Strong analytical, problem-solving, documentation, and executive presentation skills.
These will help you stand out
- Experience leading SQL Server to Snowflake migration initiatives within enterprise environments.
- Knowledge of data lineage, dependency analysis, reconciliation frameworks, and enterprise reporting ecosystems.
- Experience working in onsite/offshore delivery models across multiple technical workstreams.
- Expertise in cloud modernization, data platform optimization, and large-scale analytics transformation programs.
- Experience defining implementation roadmaps, effort estimates, resource planning, risk mitigation strategies, and governance frameworks.
Strong consulting skills with the ability to translate business priorities into practical, scalable, and implementation-ready technical solutions.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







