We are seeking a seasoned Senior AWS Data Architect to lead the design and implementation of our next-generation data ecosystem. You will serve as the primary technical authority, blending high-level architectural strategy with hands-on engineering excellence. In this role, you will translate complex business objectives into high-performance, cost-effective AWS architectures while providing technical mentorship and leadership to engineering teams. You will be the face of our technical solution, working directly with client architects and orchestrating delivery across complex, multi-vendor environments.
- Architectural Strategy: Define and maintain the end-to-end blueprint for enterprise data platforms, encompassing ingestion, storage (Data Lakes/Warehouses), processing, and visualization.
- Hands-on Technical Leadership: Serve as the lead engineer on high-priority initiatives. Architect and build complex transformation frameworks using Python/PySpark and Apache Airflow.
- Modernization & Migration: Lead enterprise-scale database modernization and migration programs, utilizing AWS DMS and schema conversion tools to transform legacy on-premise workflows into scalable, cloud-native AWS patterns.
- Performance Optimization: Own the performance, scalability, and cost-efficiency of our data environments. Perform deep-dive query optimization and resource tuning across Redshift, Athena, and EMR.
- Agile Governance & Stakeholder Management: Lead technical planning (including PI planning), conduct architecture and code reviews, and provide direct technical liaison services to client architects. Ensure seamless delivery in complex, multi-vendor ecosystems.
Technical Requirements
- AWS Ecosystem: Expert-level proficiency with AWS Glue, Redshift, Aurora, EMR (Spark/Hadoop), S3, Athena, Kinesis, and Lambda.
- Engineering Rigor: Mastery of SQL, advanced data modeling (relational and non-relational), and development of production-grade data pipelines using Python/PySpark.
- Orchestration: Hands-on experience architecting and managing complex, mission-critical workflows in Apache Airflow.
- Migration Experience: Proven track record of executing end-to-end data migration strategies and large-scale database modernization projects.
- Leadership & Delivery: Exceptional experience leading large, cross-functional teams in Agile environments. Proven ability to navigate multi-vendor landscapes and influence technical strategy with client stakeholders from design through to production go-live.
Key Refinements Made:
- Terminology: Fixed "data molarization" to "data modernization."
- Leadership Emphasis: Explicitly added the requirement for managing multi-vendor environments and interfacing with client architects, ensuring this is highlighted as a core competency.
- Tone: Used more professional and authoritative language ("serve as the primary technical authority," "technical liaison services") suitable for a high-level architect role.
- Clarity: Streamlined the "Agile Governance" section to emphasize both the internal team leadership and the external client-facing responsibilities.
- 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
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。
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