Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Job Summary:
We are seeking a Data Engineer specializing in Snowflake to own the data platform's storage and compute layer as part of a large-scale data platform modernization for an Australian payments company. This role focuses on Snowflake architecture, DDL design, Dynamic Tables, stored procedures, performance tuning, cost governance, and security (RBAC/ABAC). The ideal candidate is a Snowflake power user who can ensure the platform is performant, secure, and cost-efficient at scale.
Key Responsibilities:
· Design, develop, and optimize Snowflake objects including tables, views, materialized views, Dynamic Tables, stored procedures, tasks, and streams.
· Implement and manage Snowflake role-based access control (RBAC), column-level security, and row-level security policies.
· Tune query performance through clustering, materialization strategies, query profiling, and warehouse sizing.
· Establish cost governance practices including resource monitors, warehouse auto-suspend policies, cost tagging, and usage reporting.
· Design and implement Snowflake data sharing and data marketplace patterns for internal and external consumers.
· Collaborate with Data Architects to implement the medallion architecture (Bronze / Silver / Gold) within Snowflake.
· Support Snowpark-based development for advanced transformations and ML feature engineering.
· Implement schema management, Liquibase / SchemaChange migrations, and CI/CD deployment patterns for Snowflake objects.
· Monitor platform health, query concurrency, and warehouse utilization; troubleshoot performance issues.
Required Skills & Experience:
· Deep expertise in Snowflake architecture, DDL/DML, Dynamic Tables, stored procedures, UDFs, tasks, streams, and Snowpipe.
· Proven experience with Snowflake query optimization, clustering, result caching, and warehouse configuration.
· Hands-on experience implementing RBAC, ABAC, column masking policies, and row access policies in Snowflake.
· Experience establishing resource monitors, warehouse policies, and cost attribution models in Snowflake.
· Expert-level SQL for complex transformations, stored procedures, and administrative scripting.
· Experience with SchemaChange, Liquibase, or equivalent tools for Snowflake object deployment.
· Working knowledge of dimensional and Data Vault 2.0 models implemented in Snowflake.
Preferred Skills (Nice-to-Have):
· Snowflake SnowPro Core or Advanced certification.
· Experience with Snowpark for Python/Scala-based data processing.
· Familiarity with Snowflake Cortex for in-database ML and LLM functions.
· Experience with Apache Iceberg tables in Snowflake.
· Knowledge of Terraform for Snowflake infrastructure-as-code.
· Experience in the payments, fintech, or banking domain.
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
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。
