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
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。
