HUMAC INC.
HUMAC INC.

Mainframe Data Conversion Lead

Hybrid in Phoenix, AZ, US • Posted 5 hours ago • Updated 4 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Mainframe
  • IBM Mainframe
  • COBOL
  • Communication
  • Extract
  • Transform
  • Load
  • Flat File
  • Data Profiling
  • Data Quality
  • Data Structure
  • Data Validation
  • Database
  • Extraction
  • Data Deduplication
  • Data Integration
  • Data Mapping
  • Data Migration
  • JCL
  • Mentorship
  • Data Modeling
  • IBM DB2
  • IDQ
  • Informatica
  • Informatica PowerCenter
  • Microsoft SQL Server
  • API
  • Analytical Skill
  • Project Management
  • Regulatory Compliance
  • Salesforce.com
  • Migration
  • MuleSoft
  • Normalization
  • Performance Tuning
  • Problem Solving
  • Cloud Computing
  • Conflict Resolution
  • Data Conversion
  • IBM
  • Microsoft SSIS
  • Transact-SQL
  • z/OS
  • SQL
  • Scripting
  • Software Modernization
  • Status Reports
  • Stored Procedures
  • VSAM

Summary

Job Title: Mainframe Data Conversion Lead
Location: Phoenix, AZ (Hybrid)
This is a Hybrid position and expected to be in office once a week.
Candidates must be local to AZ and available for an in-person interview
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
Job Description:

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
  • 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).
  • 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.
  • 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.

Please share the resumes to Dileep at humacinc dot com

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: 10202300
  • Position Id: 8967081
  • Posted 5 hours ago
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