URGENT HIRING||MAINFRAME DATA CONVERSION LEAD||PHOENIX, AZ (HYBRID ROLE)||

Hybrid in Phoenix, AZ, US • Posted 2 hours ago • Updated 2 hours ago
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Job Details

Skills

  • Data Conversion
  • IBM
  • IBM Mainframe
  • Informatica
  • Informatica PowerCenter
  • Microsoft SSIS
  • Salesforce.com

Summary

Hi,

Hope you are doing well

I have an urgent opening of Mainframe Data Conversion Lead at Phoenix, AZ

Title: Mainframe Data Conversion Lead Duration: 6 moths Contract Location: Hybrid- (once a week in Office in Phoenix, AZ)- (Local Arizona Candidate only)

Job Description: Required Skills
Previous experience in Mainframe data conversion (This must be on Resume)
Salesforce Expert
Informatica Expert
SQL Server Expert
Preferred Skills
Informatica Data Quality (IDQ)
MuleSoft
Salesforce Service Cloud

This is a Hybrid position and expected to be in office once a week. Local candidates only.
We are seeking an experienced Mainframe Data Conversion Lead to lead the complex migration of legacy mainframe data (primarily IBM z/OS, DB2, VSAM, IMS, and COBOL-based systems) into Salesforce using Informatica as the primary ETL tool and SQL Server as the staging and transformation platform.

The ideal candidate will have deep expertise in mainframe data structures, data mapping, cleansing, transformation, and loading into Salesforce (Service Cloud, and custom objects). This role is critical in ensuring data accuracy, integrity, and compliance during large-scale data conversion initiatives.
Key Responsibilities
Lead end-to-end mainframe data conversion projects from discovery through go-live and hypercare.
Analyze and document mainframe data structures including DB2 tables, VSAM files, IMS databases, flat files, and COBOL copybooks.
Design and develop data mapping documents, source-to-target mappings, and transformation rules from mainframe sources to Salesforce objects.
Build, optimize, and maintain robust ETL processes using Informatica PowerCenter / IICS for extraction, cleansing, transformation, and loading.
Use SQL Server (stored procedures, SSIS, SQL scripts) as an intermediate staging, cleansing, and reconciliation platform.
Work closely with Salesforce architects and developers to ensure data is loaded efficiently using Salesforce APIs, Bulk API, and Data Loader (or Informatica Salesforce Connector).
Perform data profiling, data quality assessment, cleansing, deduplication, and enrichment.
Develop and execute data validation, reconciliation, and cutover plans with business and technical teams.
Mentor junior team members.
Establish and enforce data conversion best practices, standards, and governance.
Provide regular status reporting to project management and stakeholders on data conversion progress, risks, and issues.
Qualifications
10+ years of overall data integration / ETL experience with at least 5+ years specifically in Mainframe to Modern Platform data migrations.
Strong experience migrating data from IBM Mainframe environments (z/OS, DB2, VSAM, IMS, COBOL, JCL).
Expert-level hands-on experience with Informatica Intelligent Cloud Services (IICS).
Strong proficiency in SQL Server development (T-SQL, stored procedures, performance tuning).
Solid experience with Salesforce data migration (Salesforce objects, Data Loader, Bulk API, Salesforce Connect, External Objects).
Deep understanding of data modeling, normalization, hierarchical vs relational data structures, and mainframe-to-relational conversion techniques.
Experience in large-scale Data Conversion / Legacy Modernization projects (highly preferred).
Strong knowledge of data quality frameworks and tools.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and lead cross-functional teams.

Regards,

Nitin Gupta
Team Lead-Recruitment
ShiftCode Analytics Inc.,
5118 Sylvester loop Tampa,
Florida 33610
Direct:
Email:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91128109
  • Position Id: 8968284
  • Posted 2 hours ago
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