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# Cloud & Data Modernization Specialist

- **Company:** BETA SEARCH COM LLC
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Batch Processing, Cloud Computing, COBOL (Programming Language), Data Architecture, Data Governance, Data Transformation, Data Structures, IBM DB2, Job Control Language (JCL), IBM Mainframe, Software Deployment, Virtual Storage Access Methods, Enterprise Software Applications, Cloud Platform System, Snowflake, Event Driven Architecture, Microsoft Fabric, Data Lakes, Kubernetes, Cloud Migration, Terraform, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4e795ab1bf344005

## About the Role

* 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

## Description

The company is seeking a Cloud & Data Modernization Specialist to 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.


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