LumenData is a global consulting firm specializing in data management, cloud modernization, MDM, data quality, and analytics. We help enterprises build scalable, high-quality data ecosystems using platforms such as Informatica IDMC, MDM SaaS, Snowflake, and modern API-driven architectures.
Role Overview
We are looking for a Lead MDM QA Engineer with strong expertise in Master Data Management (MDM) testing, ETL/Data Pipeline validation, API Testing, and hands-on experience with Informatica IDMC.
The Lead MDM QA will drive QA strategy, own quality deliverables, mentor team members, and work closely with cross-functional stakeholders to ensure high-quality MDM and data integration releases.
Key Responsibilities
Leadership & Ownership
Required Skills & Experience
Good-to-Have Skills
Why Join LumenData
Lead end-to-end QA for MDM, ETL, and integration projects.
Mentor junior QA engineers and guide them on test design, best practices, and execution.
Own QA strategy, test planning, estimation, risk identification, and release quality.
Collaborate with architects, developers, business teams, and project managers to ensure alignment. MDM QA
Validate MDM match/merge rules, trust/survivorship, hierarchies, workflows, and golden record creation.
Review and approve MDM test cases, data sets, and validation framework.
Validate DQ rules, business workflows, and data governance processes.
Ensure consistency across landing, staging, base, XREF, and downstream consumption. ETL / Data Pipeline Testing
Lead end-to-end testing of ETL pipelines across cloud and on-premise systems.
Review source-to-target mappings, transformations, SCD logic, data reconciliation, and data quality checks.
Validate IDMC CDI mappings, taskflows, ingestion patterns, and error-handling. API Testing
Lead testing of REST/SOAP APIs integrating with MDM and enterprise systems.
Validate API payloads, authentication, performance, negative test cases, and schema compliance.
Use tools such as Postman, Swagger, SoapUI for validation. Quality Governance
Define QA standards, best practices, templates, and reusable test frameworks.
Ensure proper defect lifecycle management and root cause analysis.
Drive automation feasibility and suggest improvements to accelerate testing cycles.
Provide QA sign-offs, leadership reports, and quality KPIs.
712 years of strong QA experience, with at least 4+ years in MDM QA (Informatica preferred).
Hands-on experience with Informatica MDM (on-prem or SaaS).
Strong experience in ETL testing, SQL-based validation, and data warehousing concepts.
Experience with IDMC (CDI/DQ/MDM SaaS) is strongly preferred.
Expertise in REST/SOAP API testing.
Strong understanding of match/merge, survivorship, trust rules, hierarchies, and DQ rules.
Experience in Agile/Scrum, test management tools, and QA governance.
Excellent communication, leadership, and stakeholder management skills.
Experience with automation (API/ETL/Data pipeline).
Knowledge of Snowflake or cloud data warehouses.
Familiarity with Python/Shell scripting for automation and data validation.
Exposure to Cloud platforms (AWS/Azure/GCP).
Lead complex data quality and MDM initiatives for global enterprises.
Work with modern cloud and MDM technologies in innovative, large-scale projects.
Leadership role with strong visibility and ownership.
Collaborative environment, competitive pay, and strong career growth opportunities.
