Job Title - Snowflake Data architect with AWS
Location - Hybrid @ Dallas, TX
Job Summary
Sr Architect with 12 to 14 years of experience in AWS and Snowflake SQL for cards and payments domain responsible for designing secure scalable data platforms that support real time and batch analytics in a hybrid work model enabling reliable transaction insights and regulatory reporting for global financial services clients.
Responsibilities
- Design enterprise grade data architectures that apply AWS and Snowflake SQL to support high volume cards and payments processing while meeting scalability and security objectives
- Develop robust data integration patterns that orchestrate ingestion transformation and publishing workflows to deliver consistent and trusted datasets for downstream analytics and operational reporting
- Optimize complex Snowflake SQL workloads by refining query structures clustering strategies and data modeling patterns to achieve predictable performance for mission critical transaction analysis
- Coordinate with cards and payments product teams to translate authorization clearing settlement and dispute processes into precise data requirements and reusable data assets
- Implement resilient data pipelines in Azure Data Factory that handle streaming and batch feeds from card networks banks and fintech partners while ensuring reliable error handling and recovery
- Establish data quality validation and reconciliation rules that safeguard transaction accuracy limit disputes and support compliance initiatives across multiple regulatory jurisdictions
- Create logical and physical data models that align payment transaction reference and master data structures with industry standards and internal governance practices
- Collaborate with risk fraud and compliance stakeholders to design data flows that detect anomalous card activity and enable timely interventions for customer protection
- Define security and data access patterns that apply role based controls encryption and monitoring to safeguard sensitive cardholder information across all data platforms
- Guide development and operations teams in adopting best practices for version control continuous integration and automated testing of Azure Data Factory pipelines and Snowflake SQL assets
- Produce clear architecture documentation data flow diagrams and design guidelines that enable consistent implementation and maintenance by distributed engineering teams
- Support capacity planning and cost optimization activities by analyzing workload patterns and proposing configuration adjustments for Azure and Snowflake environments
- Coordinate with enterprise architects to align cards and payments data architecture with broader digital transformation roadmaps and shared platform capabilities
Qualifications
- Possess extensive hands on experience in AWS including pipeline orchestration mapping data flows monitoring and integration with other Azure services for data driven applications
- Demonstrate advanced proficiency in Snowflake SQL covering schema design performance tuning query optimization and secure data sharing within large scale financial environments
- Bring deep functional understanding of cards and payments including transaction lifecycles settlement processes interchange fees chargebacks and fraud prevention practices
- Exhibit strong skills in dimensional and normalized data modeling with a track record of delivering maintainable models for financial transaction analytics and regulatory reporting
- Show proven experience in designing highly available data platforms that support near real time analytics for card spends merchant performance and customer behavior insights
- Apply solid knowledge of data governance master data management and metadata practices to ensure consistency and traceability of card transaction data across domains
- Demonstrate practical exposure to Agile delivery models and hybrid work environments with strong communication capabilities for working across global cross functional teams
Salary and Other Compensation:
The annual salary for this position is between $120-160K 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
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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。
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