Data Platform Architect (AWS / Snowflake / ETL)
Location: Hartford, CT (Hybrid – 3 days in office)
Employment Type: Full-time
About the Role
We are seeking a highly skilled Data AWS Architect to design and deliver scalable, cloud-native data and analytics solutions. In this role, you will lead the architecture and implementation of modern data platforms, enabling advanced analytics and AI-driven outcomes for enterprise and customer needs.
You will partner with cross-functional teams to define technical standards, guide development teams, and ensure the delivery of secure, resilient, and high-performing solutions on AWS.
Key Responsibilities
- Design and architect scalable data and AI platforms leveraging modern cloud technologies
- Define and enforce technical standards, best practices, and governance for data engineering and analytics solutions
- Lead the design and implementation of cloud-native data pipelines (ETL/ELT)
- Provide hands-on guidance to engineering teams on architecture, development, and deployment
- Build and optimize data workflows using AWS services and distributed processing frameworks
- Ensure solutions are secure, resilient, and cost-efficient, aligned with enterprise standards
- Translate business and technical requirements into scalable data solutions
- Drive innovation in data architecture to improve performance, scalability, and accessibility
Required Qualifications
- Strong experience with AWS-based data engineering and analytics solutions
- Hands-on expertise in AWS Glue (ETL/ELT) and/or Ab Initio ETL tools
- Deep understanding of:
- Amazon S3 (storage, partitioning, lifecycle management)
- Parquet file formats and query optimization
- AWS Lambda for event-driven processing
- Experience working with cloud databases such as:
- Snowflake
- Amazon Aurora PostgreSQL
- Solid knowledge of:
- AWS Step Functions and orchestration/scheduling frameworks
- Python and PySpark for large-scale data processing
- Proven ability to design scalable, distributed data architectures
Preferred Qualifications
- Experience building enterprise data lake / lakehouse architectures
- Familiarity with data governance, security, and compliance frameworks
- Exposure to AI/ML data pipelines and analytics enablement
- Strong consulting and stakeholder engagement skills
Work Model
This role follows a hybrid work model, requiring 3 days per week onsite in Hartford, CT.
Compensation
salary range: $110,000 – $130,000 base salary
Why Join Us?
At Cognizant, you’ll be part of a global community that values innovation, collaboration, and continuous learning. You will work on cutting-edge technologies, influence enterprise-scale data platforms, and drive meaningful business outcomes.
Equal Opportunity Statement
Cognizant is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are respected and valued.
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。
