Cognizant – Test Manager
Location: Sydney
Salary: $120,000 - $180,000 per year
Contract: Full-time
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
- Opportunity to learn and collaborate with some of the most talented people in the industry.
- Innovative environment and cutting‑edge technology across data organizations.
- Compensation, benefits and wellness packages to help you stay healthy and plan for the future.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.