> Markdown version of [/jobs/ext/3535636-cloud-data-migration-lead](https://www.wearedevelopers.com/jobs/ext/3535636-cloud-data-migration-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Data Migration Lead - **Company:** Cognizant Technology Solutions Corporation - **Location:** Des Moines, IA, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $117,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Cloud Database, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, DevOps, Identity and Access Management, Performance Tuning, Cloud Services, SAS (Software), Enterprise Data Management, Macros, Sql Optimization, Pyspark, AWS Glue, Data Management, Functional Programming, Cloudwatch, Amazon Redshift - **Published:** October 2, 2026 - **Apply:** https://dejobs.org/x/x/0310EE758792411C84C95F3788C31367/job/ ## About the Role * Extensive experience in data warehousing, ETL development, and enterprise data integration. * Strong hands-on experience with SAS, PySpark, and AWS Glue. * Proven experience leading cloud data migration and modernization programs. * Strong expertise with AWS services including S3, Glue, Lambda, IAM, CloudWatch, and Athena. * Advanced SQL, data modeling, and data transformation skills. * Experience implementing data quality, reconciliation, governance, and migration frameworks. * Experience with CI/CD pipelines and DevOps practices. * Demonstrated ability to lead technical teams and collaborate with business and technology stakeholders. * Strong communication, presentation, and stakeholder management skills. These will help you stand out: * Experience with Amazon Redshift. * Previous experience leading SAS-to-PySpark migration initiatives at enterprise scale. * Experience designing and implementing cloud-native data lake architectures. * Expertise in performance tuning and optimization of PySpark workloads. * Experience working with global delivery teams and vendor partners in complex transformation programs. 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. ## Description As a Cloud Data Migration Lead , you will make an impact by leading large-scale data modernization initiatives and driving the migration of legacy SAS-based data platforms to cloud-native AWS and PySpark solutions. You will be a valued member of the Data Engineering team and work collaboratively with architects, data engineers, business stakeholders, project leadership, and global delivery teams to deliver scalable, secure, and high-quality data solutions., * Lead the assessment, planning, and migration of legacy SAS programs, datasets, macros, and ETL workflows to AWS-based data platforms. * Define migration strategies, standards, and best practices for converting SAS workloads into PySpark and AWS Glue solutions. * Partner with data architects and engineering teams to design scalable cloud data lake and integration architectures. * Establish data validation, reconciliation, and quality frameworks to ensure accuracy, compliance, and successful migration outcomes. * Provide technical leadership, mentoring, and governance to data engineers, ETL developers, architects, and QA teams throughout the migration lifecycle. Work model: We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. 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. 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