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Data Modernization Jobs in Chicago, IL (NOW HIRING)

Forth

Senior Data Analyst

Schaumburg, IL · On-site

$401K/yr

Additionally, this role leads our data modernization efforts, creating a scalable foundation using medallion data architecture and building AI-ready semantic layers within the AWS Snowflake ...

Uline

Senior Data Engineer

Waukegan, IL

$96K - $148K/yr

You'll provide technical guidance, help drive data modernization and deliver solutions that improve efficiency and business growth across our growing North American company. Careers Packed with ...

ULINE

Senior Data Engineer

Waukegan, IL · On-site

$96K - $148K/yr

You'll provide technical guidance, help drive data modernization and deliver solutions that improve efficiency and business growth across our growing North American company. Careers Packed with ...

ULINE

Senior Data Engineer

Glenview, IL · On-site

$96K - $148K/yr

You'll provide technical guidance, help drive data modernization and deliver solutions that improve efficiency and business growth across our growing North American company. Careers Packed with ...

ULINE

Senior Data Engineer

Waukegan, IL · On-site

$96K - $148K/yr

You'll provide technical guidance, help drive data modernization and deliver solutions that improve efficiency and business growth across our growing North American company. Careers Packed with ...

SEI

Data and Analytics Consultant

Chicago, IL

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

SEI

Data and Analytics Consultant

Chicago, IL · On-site

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

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Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are popular job titles related to Data Modernization jobs in Chicago, IL?

For Data Modernization jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Chicago, IL look for?

The top searched job categories for Data Modernization jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Modernization jobs?

Cities near Chicago, IL with the most Data Modernization job openings:

Infographic showing various Data Modernization job openings in Chicago, IL as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Cloud & Data Modernization Specialist

Chicago, IL • On-site

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Posted 20 days ago

Job description

Employment Type:Consulting / Contract

Overview

The company is seeking aCloud & Data Modernization Specialistto support the modernization of a large-scale custody accounting platform.

Unlike traditional cloud transformation projects, this engagement focuses on stabilizing an existing IBM mainframe environment before progressively modernizing applications, data structures, and infrastructure in preparation for migration to Finbourne.

The ideal consultant understands both legacy mainframe ecosystems and modern cloud architectures, enabling practical modernization strategies that minimize business disruption.

Responsibilities
  • Assess legacy mainframe architecture and identify modernization opportunities.
  • Design cloud migration and hybrid architecture strategies.
  • Analyze legacy custody data structures and batch processing.
  • Design modern data integration solutions supporting phased migration.
  • Develop migration roadmaps for applications and data.
  • Improve data governance, lineage, and quality.
  • Partner with infrastructure, engineering, and business stakeholders.
  • Support cloud adoption and platform modernization initiatives.
  • Participate in architecture reviews and technical planning.
  • Support testing and production deployments.
Required Qualifications
  • 10+ years of enterprise technology experience.
  • Strong background in IBM Mainframe environments.
  • Experience with COBOL, DB2, VSAM, JCL, batch processing, or related technologies.
  • Experience modernizing legacy financial services platforms.
  • Strong understanding of enterprise data architecture.
  • Experience with cloud migration initiatives.
  • Securities Services experience.
Preferred Qualifications
  • Azure or AWS
  • Data Lake architecture
  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Finbourne
  • Terraform
  • Kubernetes
  • API integration
  • Event-driven architecture
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