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.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
