Key Responsibilities
- Architect, design, and oversee implementation of end-to-end data pipelines using Informatica IICS (Cloud Data Integration, Application Integration, and API Management) to ingest data from diverse source systems into Snowflake.
- Define and enforce Snowflake architecture best practices, including data modeling (star/snowflake schemas, Data Vault), virtual warehouse sizing/cost optimization, clustering, partitioning, and performance tuning.
- Lead the design of scalable ELT/ETL frameworks, ensuring reusability, metadata-driven development, and adherence to data governance standards.
- Own the technical roadmap for cloud data platform modernization, including migration strategies from legacy ETL tools (Informatica PowerCenter, SAP BODS, etc.) to IICS and Snowflake.
- Guide and mentor development teams on IICS mapping design, taskflows, connectors, and Snowflake integration patterns.
- Conduct architecture reviews, code reviews, and performance audits; troubleshoot complex data pipeline and query performance issues.
- Evaluate and recommend new tools, frameworks, and best practices to enhance platform scalability and reliability.
- Create and maintain architecture documentation, data flow diagrams, and technical design specifications.
- Partner with vendors (Snowflake, Informatica) on platform upgrades, licensing, and support escalations.
Required Skills & Experience
- 10+ years of overall experience in data engineering/architecture, with at least 4–5 years in a hands-on architect role.
- Strong, demonstrable expertise in Snowflake: architecture, performance tuning, warehouse management, Snowpipe, Streams & Tasks, Time Travel, and cost governance.
- Proven experience with Informatica IICS (Cloud Data Integration / CDI, Cloud Application Integration / CAI, Mass Ingestion).
- Solid understanding of data modeling techniques (dimensional modeling, Data Vault 2.0, normalized/denormalized schemas).
- Experience integrating data from varied sources: relational databases, flat files, SAP BODS applications.
- Strong SQL skills and experience with query optimization on cloud data warehouses.
- Working knowledge of cloud platforms (AWS, Azure, or GCP) and their native services.
- Experience with CI/CD and version control practices for data pipelines.
- Excellent communication skills with the ability to present architecture decisions to both technical and executive audiences.
Preferred Qualifications
- Snowflake certification (SnowPro Core / SnowPro Advanced Architect).
- Informatica certification (IICS or PowerCenter).
- Experience leading migrations from on-prem ETL/EDW platforms to cloud-native architectures.
- Exposure to SAP BODS
- Background in agile delivery environments and cross-functional team leadership.
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 X days a week in a client or Cognizant office in city, province. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered
- List the most important qualifications in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
- Related duties should be combined
These will help you stand out
- List the most important nice-to-haves in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
We're excited to meet people who share our mission and can m
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.
Total compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $90000– $140000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
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。
