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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Lead Data Migration Architect with deep expertise in Snowflake and enterprise data modernization to lead large-scale migration programs from legacy platforms including SQL Server, DB2, and AS/400. This role will define target-state Snowflake architectures, migration strategies, reconciliation frameworks, and modernization roadmaps. The architect will leverage AI-powered accelerators, including Gemini Enterprise, to automate schema conversion, data transformation, validation, and migration processes. The ideal candidate combines strong Snowflake platform expertise with hands-on experience delivering complex migration and modernization initiatives.
In this role, you will:
· Define and lead enterprise data migration strategies from SQL Server, DB2, and AS/400 platforms to Snowflake.
· Architect scalable Snowflake data platforms including data warehousing, ingestion, transformation, governance, and analytics layers.
· Design migration factory frameworks with reusable patterns, automation pipelines, migration waves, and industrialized delivery processes.
· Develop data migration, reconciliation, validation, and data quality frameworks to ensure migration accuracy and completeness.
· Lead schema mapping, data type conversion, and transformation design between legacy databases and Snowflake.
· Optimize Snowflake performance through clustering, partitioning, query tuning, workload management, and cost optimization.
· Leverage Gemini Enterprise to accelerate metadata discovery, schema conversion, data quality validation, reconciliation, and migration documentation.
· Collaborate with data engineers, application architects, DBAs, and business stakeholders to execute modernization programs.
· Establish governance, lineage, auditability, and operational standards across migration initiatives.
· Provide technical leadership, mentor teams, and drive adoption of Snowflake best practices and modern data architecture patterns.
What you need to have to be considered
· 10+ years of experience in data architecture, data migration, or enterprise modernization programs.
· Strong hands-on experience with Snowflake architecture, data modeling, performance optimization, and administration.
· Expertise in migrating data from legacy platforms such as SQL Server, DB2 (LUW/iSeries), and AS/400 into Snowflake.
· Experience designing large-scale migration factories, automation frameworks, and industrialized migration processes.
· Strong understanding of Snowflake capabilities including Snowpipe, Tasks, Streams, Time Travel, Data Sharing, and Native Apps.
· Expertise in data quality engineering, reconciliation frameworks, metadata management, lineage, and governance.
· Experience with ETL/ELT tools such as dbt, Informatica, Matillion, Fivetran, or similar data integration platforms.
· Familiarity with cloud ecosystems (AWS, Azure, or GCP) and modern data lake/lakehouse architectures.
· Experience leveraging AI-assisted tools such as Gemini Enterprise for migration acceleration and automation.
· Strong communication, stakeholder management, and technical leadership skills.
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Applications will be accepted until 8 Jul 2026.
Salary and Other Compensation:
The annual salary for this position is between $[137,500 - 161,500] 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 Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
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。
