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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
