Test Manager - Data Platform

Cognizant; Sydney; Sur place; AUD 120 000 - 170 000; Plein temps

Résumé du poste

Cognizant Technology Solutions Corporation seeks an experienced Test Manager to lead end-to-end QA for enterprise ETL and data platform initiatives. You will own testing strategy, governance, delivery, and data validation across cloud and legacy ecosystems, combining strong data pipeline knowledge with proven leadership and stakeholder management.

The role emphasizes test automation, traceability, and risk-based coverage, with collaboration across data engineering, product, and release teams to

Qualifications

• Substantial experience in software quality assurance, including leadership in ETL, data warehouse, data lake, or analytics testing.
• Ownership of testing for complex multi-system data programs from planning through release.
• Experience managing third-party partners, delivery dependencies, and stakeholder expectations is desirable.

Responsabilités

• Define and implement the overall test strategy, test plan, governance, and quality standards for ETL and data platform programs.
• Lead functional, integration, regression, system, performance, reconciliation, and UAT testing across the data lifecycle.
• Coordinate testing across Amazon Redshift, Fivetran, Databricks, dbt, SAS, and Oracle environments.
• Drive test automation and reusable validation frameworks for pipelines, transformations, and data-quality controls.
• Provide clear quality dashboards and executive-level reporting on progress, coverage, trends, risks, and release recommendations.
• Coach test leads and engineers, promoting engineering best practices in a high-performing quality culture.

Connaissances

ETL testing

Data testing

SQL

Amazon Redshift

Fivetran

Databricks

Dbt

SAS

Oracle

CI/CD

QA leadership

Agile

Outils

SQL

CI/CD

Description du poste

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture:

Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.

At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:

We are seeking an experienced Test Manager to lead end-to-end quality assurance for enterprise ETL and data platform initiatives. The role will own the testing strategy, governance, delivery, and continuous improvement of data validation across modern cloud and legacy ecosystems. The successful candidate will combine strong technical knowledge of data pipelines with proven leadership, stakeholder management, and delivery assurance capabilities.

Key Responsibilities:

• Define and implement the overall test strategy, test plan, governance model, and quality standards for ETL and data platform programs.
• Lead functional, integration, regression, system, performance, reconciliation, and user acceptance testing across the data lifecycle.
• Manage test estimation, resource planning, scheduling, execution, defect management, reporting, and release-readiness assessments.
• Ensure source-to-target validation, transformation-rule verification, data completeness, accuracy, integrity, lineage, and reconciliation.
• Coordinate testing across Amazon Redshift, Fivetran, Databricks, dbt, SAS, and Oracle environments.
• Partner with data engineering, architecture, product, business, operations, and release teams to clarify requirements and mitigate quality risks.
• Establish traceability between requirements, data mappings, test scenarios, test cases, defects, and business outcomes.
• Drive test automation and reusable validation frameworks for pipelines, transformations, and data-quality controls.
• Lead defect triage, root-cause analysis, risk escalation, and resolution tracking with technical and business stakeholders.
• Provide clear quality dashboards and executive-level reporting on progress, coverage, defect trends, risks, dependencies, and release recommendations.
• Coach test leads and engineers, promote engineering best practices, and build a high-performing quality culture.

Required Technical Expertise:

• ETL and data testing: Strong experience validating batch and incremental pipelines, complex transformations, dimensional models, data warehouses, and analytics datasets.
• Amazon Redshift: Proficiency in SQL-based validation, warehouse testing, performance considerations, and reconciliation of large datasets.
• Fivetran: Experience testing managed connectors, schema replication, incremental loads, synchronization behaviour, and source-to-destination completeness.
• Databricks: Hands-on knowledge of Lakehouse testing, notebooks, Spark-based processing, Delta tables, medallion architecture, and pipeline validation.
• Dbt: Experience validating models, dependencies, tests, documentation, snapshots, incremental strategies, and deployment workflows.
• Niche platforms: Working knowledge of SAS and Oracle, including migration, coexistence, reconciliation, and modernization scenarios.
• SQL and data analysis: Advanced SQL skills with the ability to investigate complex data issues and validate high-volume datasets.
• Automation and delivery: Familiarity with automated data-testing approaches, version control, CI/CD, test management, and defect-tracking tools.

Leadership & Delivery Skills:

• Proven ability to lead distributed and cross-functional testing teams across concurrent workstreams.
• Strong planning, prioritization, governance, risk management, and decision-making skills.
• Excellent written and verbal communication, including concise reporting to senior stakeholders.
• Ability to translate business rules and data mappings into risk-based test coverage.
• Strong analytical mindset with disciplined problem-solving and attention to detail.
• Comfort working in Agile, iterative, and hybrid delivery environments.

Qualifications & Experience:

• Substantial experience in software quality assurance, including significant leadership responsibility in ETL, data warehouse, data lake, or analytics testing.
• Demonstrated ownership of testing for complex, multi-system data programs from planning through production release.
• Experience managing third-party partners, delivery dependencies, and senior stakeholder expectations is desirable.

Benefits:

• You can pursue innovative career tracks and opportunities here
• You can enhance your professional development through education and dedicated training
• We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.