Remote TDM Lead Architect: Data Virtualization & Automation

SFE; United States; Remote; USD 83,000 - 88,000; Full time

Job summary

Siri InfoSolutions Inc. is seeking a TDM Architect/Lead for remote engagement with our client. The role demands 8–15 years in Test Data Management, with Broadcom CA TDM and Javelin expertise, data masking, and virtualization.

You will drive end-to-end data provisioning, automation via REST APIs, and CI/CD integration. Remote position with long-term duration. Strong knowledge of multiple data sources (Oracle, SQL Server, MySQL, Teradata, MongoDB) and Docker containerization is preferred.

Qualifications

• 8–15 years of proven TDM experience with Broadcom CA TDM and Javelin.
• Hands-on with TDM Portal for projects, modeling, masking, and self-service design.
• Experience with data virtualization and self-service provisioning.
• Automation of test data workflows via REST APIs and CI/CD.
• Experience across Oracle, SQL Server, MySQL, and other sources.

Responsibilities

• Architect tailored data management and virtualization solutions.
• Assess requirements, define strategy, and govern TDM initiatives.
• Integrate TDM with DevOps and test automation frameworks.
• Ensure security, resilience, and scalability in solutions.

Skills

Test Data Management (TDM) experience

Broadcom CA TDM

Javelin experience

TDM portal usage

Data masking techniques

Data virtualization

CI/CD integration

REST API automation

Docker/containerization basics

Data provisioning automation

Tools

TDM Portal

Fast Data Masker

Data Maker

Data Subsetting

Javelin workflow

Docker

REST APIs

CI/CD tooling

Job description

Siri InfoSolutions Inc. is seeking a TDM Architect/Lead for remote engagement with our client. The role demands 8–15 years in Test Data Management, with Broadcom CA TDM and Javelin expertise, data masking, and virtualization.

You will drive end-to-end data provisioning, automation via REST APIs, and CI/CD integration. Remote position with long-term duration. Strong knowledge of multiple data sources (Oracle, SQL Server, MySQL, Teradata, MongoDB) and Docker containerization is preferred.