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.
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。
