About the role
As a Lead AWS Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-based data platforms and engineering solutions that enable data-driven business decisions. You will be a valued member of the Data Engineering team, working collaboratively with product owners, architects, business stakeholders, and engineering teams to deliver modern data solutions that support enterprise initiatives.
In this role, you will:
- Design, build, and maintain scalable data pipelines using Databricks, Snowflake, AWS services, and DBT.
- Develop and optimize data ingestion frameworks, including serverless solutions using AWS Lambda and Step Functions.
- Build and support robust data models, schemas, and medallion architecture patterns to ensure high-quality, governed data assets.
- Lead technical design discussions, conduct code reviews, mentor engineers, and promote software engineering best practices across the team.
- Partner with product owners and business stakeholders to translate business requirements into scalable, secure, and cost-effective technical solutions.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at a client or Cognizant office in Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Strong hands-on experience with Databricks, including building and orchestrating production-grade data pipelines.
- Extensive experience with AWS services, particularly Lambda, Step Functions, and cloud-native data processing solutions.
- Expertise in Snowflake and DBT for data transformation, modeling, and analytics enablement.
- Experience implementing medallion architecture, data warehousing solutions, and enterprise data governance standards.
- Proven ability to source, integrate, and standardize data from multiple line-of-business applications using APIs, native connectors, and other ingestion methods.
- Experience designing and developing APIs, backend services, and scalable data architectures.
- Demonstrated leadership experience providing system design guidance, conducting code reviews, and mentoring engineering teams.
- Strong communication skills with the ability to translate business requirements into technical solutions.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
These will help you stand out
- Experience supporting large-scale enterprise data modernization initiatives.
- Expertise in performance tuning and cost optimization for cloud-based data platforms.
- Knowledge of DataOps, CI/CD practices, and infrastructure-as-code methodologies.
- Experience working in highly regulated industries such as insurance or financial services.
- Strong understanding of data governance, data quality frameworks, and master data management principles.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until August 09, 2026.
The annual salary for this position is between $ 125,000 - $ 150,000 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。
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。
