Cloud Data Migration Lead

Cognizant

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Des Moines, IA
Salary
$100,000–$117,000 / yr
Posted
27 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $108k
$87k $222k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $139,150–$192,750 — the blue band above. At the midpoint, this role pays about $108k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 330 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 211 roles with salary data.

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View all roles at Cognizant

At a glance

TL;DR · Cloud Data Migration Lead

The Cloud Data Migration Lead joins the Data Engineering team to lead large-scale data modernization initiatives. This role involves migrating legacy SAS-based data platforms, programs, datasets, and ETL workflows to cloud-native AWS and PySpark solutions. You will define migration strategies, establish data validation and quality frameworks, and design scalable cloud data lake and integration architectures. Key responsibilities include providing technical leadership and mentoring to engineers, architects, and QA teams throughout the migration lifecycle. Required technical skills include hands-on experience with SAS, PySpark, AWS Glue, S3, Lambda, IAM, CloudWatch, and Athena. You must also possess advanced SQL, data modeling, and transformation skills, alongside experience with CI/CD pipelines and DevOps practices to solve complex enterprise data integration and migration problems.

What you'll do

  • Lead the assessment, planning, and migration of legacy SAS programs and ETL workflows to AWS platforms.
  • Define migration strategies and best practices for converting SAS workloads into PySpark and AWS Glue solutions.
  • Design scalable cloud data lake and integration architectures in partnership with data architects.
  • Establish data validation, reconciliation, and quality frameworks to ensure migration accuracy and compliance.
  • Provide technical leadership, mentoring, and governance to data engineers and ETL developers throughout the migration lifecycle.
  • Optimize PySpark workloads and manage performance tuning for cloud-native data solutions.

What we're looking for

  • 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.

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