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Mainframe Data Architect Jobs (NOW HIRING)

Test Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

Test Data Architect Location: MN (on-site 3 days) Client: US Bank (Through CTS) The Test Data ... Perform data discovery, analysis, profiling, and data mining across databases, files, mainframe ...

Data Architect

O Fallon, MO · On-site

$59.75 - $76.75/hr

Data Architect Location: O'Fallon, MO 63368 ( Any PSL Location with flexibility to travel to client ... Strong understanding of mainframe data formats (EBCDIC), COBOL copybooks, and Unix-based data ...

Mainframe Architect Location: New Jersey, NJ - Need Only locals Duration: 6 months * Experience in ... Data Migration * Design ETL processes for migrating mainframe data Datacom to SQL Server. * Ensure ...

... and data transformation efforts as part of rehosting • Collaborate with architects and cloud ... of existing mainframe workloads (COBOL, JCL, DB2, VSAM, IMS, CICS) • Define modernization ...

Data Architect

Prosper, TX · On-site

$58.50 - $75/hr

Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and ... Collaborate with architecture, development, testing, and operational teams to support data analysis ...

Sr Mainframe Developer / Engineer

Prosper, TX · On-site

$44.75 - $57.75/hr

Mainframe Automation experience is a plus TECHNICAL SKILLS Must Have: COBOL, CICS, DB2, DB2 ... Collaborate with architecture, development, testing, and operational teams to support data analysis ...

Data Architect

Alpharetta, GA · On-site

$62.25 - $80/hr

Design and execute the multi-year strategy to migrate from legacy RDBMS and mainframes to modern Data Lakehouses and Data Meshes. * Data Plane Evolution: Define the "Modern Data Plane" architecture ...

Data Architect

Richmond, VA · On-site

$62.50 - $80.25/hr

They are seeking a Data Architect to design and implement data architecture solutions, ensuring ... mainframe file systems, web services, APIs, XML, text files and other documents is required. • ...

The Data Architect will develop data models, define data flows and lineage, establish data ... Large-scale legacy or mainframe modernization. * Enterprise data governance implementations.

Data Architect

Seattle, WA · On-site

$80 - $100/hr

The Data Architect will develop data models, define data flows and lineage, establish data ... Large-scale legacy or mainframe modernization. * Enterprise data governance implementations.

Sr Mainframe Developer / Engineer

Dallas, TX · On-site

$48.75 - $62.50/hr

Banking Domain Knowledge, Strong experience in data analysis, data architecture, database design ... Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and ...

Data Architect

Hunt Valley, MD · On-site

$60.50 - $77.75/hr

ClifyX is seeking a Data Architect to assist with architectural strategic thinking and information ... or Mainframe or No SQL database concept will be added advantage. Company : ClifyX provides ...

Data Architect

Hunt Valley, MD · On-site

$60.50 - $77.75/hr

ClifyX is a company looking for a Data Architect to join their team in Hunt Valley, MD. The role ... or Mainframe or No SQL database concept will be added advantage. Company : ClifyX provides ...

Sr. Data Architect

Ronkonkoma, NY · On-site

$70.50 - $94.25/hr

RIT Solutions, Inc. is seeking a Sr. Data Architect to join their team. The role involves driving ... Mainframe Company : Jobdiva Job Portal: Recruitment (contingency search and campus selection)

Data Architecture, Data Modeling, Power BI, Tableau, SSRS, ETL/ELT, Data Warehousing, KPI Metrics, Data Governance, SQL, Mainframe (IMS/COBOL/JCL), Enterprise Reporting. Summary: The Data Architect ...

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Mainframe Data Architect information

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How much do mainframe data architect jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for mainframe data architect in the United States is $60.22, according to ZipRecruiter salary data. Most workers in this role earn between $59.38 and $68.99 per hour, depending on experience, location, and employer.

What is a mainframe data architect?

A Mainframe Data Architect is a specialized IT professional responsible for designing, managing, and optimizing data structures and databases on mainframe computer systems. They ensure that data is efficiently stored, accessed, and maintained to support large-scale enterprise operations. Mainframe Data Architects work closely with developers, analysts, and business stakeholders to create scalable and secure data solutions. Their expertise is crucial for organizations relying on legacy mainframe platforms to handle critical business processes and large volumes of transactions.

What are some common challenges faced by mainframe data architects when modernizing legacy systems?

Mainframe Data Architects often encounter challenges such as integrating legacy data structures with modern platforms, ensuring data consistency during migrations, and minimizing system downtime. Addressing data security and compliance requirements while updating or re-platforming mainframe environments is also a key concern. Close collaboration with development, operations, and business teams is essential to effectively translate legacy workflows into scalable, modern solutions.

What are the key skills and qualifications needed to thrive as a mainframe data architect, and why are they important?

To thrive as a Mainframe Data Architect, you need a strong background in mainframe systems, database design, and data modeling, typically supported by a degree in computer science or related fields. Expertise with tools like IBM DB2, IMS, COBOL, and ETL platforms, as well as certifications in mainframe technologies, are commonly required. Outstanding analytical thinking, problem-solving, and communication skills help you translate complex business requirements into robust data architectures. These skills ensure the reliable, secure, and scalable management of business-critical data in large enterprise environments.

What are popular job titles related to Mainframe Data Architect jobs?

For Mainframe Data Architect jobs, the most frequently searched job titles are:

Infographic showing various Mainframe Data Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,263 per year, or $60.2 per hour.

Test Data Architect

Minneapolis, MN • On-site

$66.50 - $85.50/hr

Contractor

Posted 24 days ago


Job description

Role: Test Data Architect
Location: MN (on-site 3 days)
 
Client: US Bank (Through CTS) 
 
The Test Data Architect is responsible for defining, designing, and governing enterprise test data strategies that support application testing, modernization, automation, and software delivery across complex environments.
 
The role requires strong experience in enterprise data architecture, data modeling, database design, data analysis, test data management, data quality, integration patterns, and SQL. The person will work closely with business, product, architecture, development, testing, and operations teams.
 
Key Responsibilities
 
Understand business processes, data requirements, source systems, and downstream data consumption.
Translate business requirements and rules into logical and physical data models, source-to-target mappings, and integration specifications.
Define enterprise test data strategies supporting functional, regression, integration, performance, automation, and modernization testing.
Design reusable test data patterns including data provisioning, data masking, synthetic data, and environment refresh.
Understand and analyze ER diagrams, schemas, data dictionaries, data flows, entities, attributes, relationships, primary/foreign keys, indexes, and constraints.
Perform data discovery, analysis, profiling, and data mining across databases, files, mainframe systems, and other sources.
Validate data quality, integrity, consistency, reconciliation, transformation logic, and business rules.
Understand enterprise integration patterns including batch processing, real-time/event-driven architecture, APIs, messaging queues, data pipelines, and file-based interfaces.
Support data privacy, protection, retention, classification, and regulatory requirements, particularly for sensitive customer and financial data.
Document data models, mappings, test data patterns, provisioning processes, standards, and reusable best practices.
Collaborate across architecture, engineering, QA, operations, product, and business teams.
Key Skill Set
 
Core Data Skills: Data Architecture • Data Modeling • Logical & Physical Data Models • Database Design • ERD Analysis • Source-to-Target Mapping • Data Lineage • Data Discovery • Data Profiling • Data Quality • Data Reconciliation
 
Test Data: Test Data Management • Test Data Strategy • Data Provisioning • Data Masking • Synthetic Data • Environment Refresh • Functional Testing • Regression Testing • Integration Testing • Performance Testing • Test Automation
 
Integration: APIs • Batch Processing • Event-Driven Architecture • Messaging Queues • Data Pipelines • File-Based Interfaces • Downstream Data Consumers
 
Databases: DB2 • SQL Server • Oracle • PostgreSQL
 
Query / Mainframe: SQL • Easytrieve • SPUFI • COBOL (basic understanding) • JCL (basic understanding) • VSAM datasets • Mainframe data structures • Batch jobs
 
Governance & Security: Data Privacy • Data Protection • Data Retention • Data Classification • Regulatory Compliance • Sensitive Customer and Financial Data
 
Business / Leadership: Business Requirements • Data Requirements • Stakeholder Management • Cross-functional Collaboration • Agile Delivery • Translating business rules into technical data requirements • Communicating complex data concepts to technical and non-technical audiences
 
Most Important Skills for the Interview:
I would prioritize Data Architecture + Data Modeling + SQL + Test Data Management + Mainframe Data + Data Quality/Reconciliation + Integration Patterns.
 
The posting specifically says the interviews will be highly technical, so I would expect scenario-based questions such as designing test data for a complex banking system, tracing data from DB2/mainframe through APIs into downstream systems, explaining logical vs. physical models, writing SQL for reconciliation, designing masking/synthetic-data approaches, and troubleshooting data mismatches across systems.