18 hours ago
Sydney, AustraliaStaff+
Responsibilities
- Define and implement test strategies, plans, governance models, 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.
- Validate source-to-target mappings, transformation rules, data completeness, accuracy, integrity, lineage, and reconciliation.
- Coordinate testing across Amazon Redshift, Fivetran, Databricks, dbt, SAS, and Oracle environments.
- Partner with engineering, architecture, product, business, operations, and release teams to clarify requirements and mitigate quality risks.
- Establish traceability across 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.
- Provide quality dashboards and executive reporting on coverage, defects, risks, dependencies, and release recommendations.
- Coach test leads and engineers and promote engineering best practices and a high-performing quality culture.
Requirements
- Substantial software quality assurance experience with significant leadership responsibility in ETL, data warehouse, data lake, or analytics testing.
- Demonstrated ownership of testing complex, multi-system data programs from planning through production release.
- Strong experience validating batch and incremental pipelines, complex transformations, dimensional models, data warehouses, and analytics datasets.
- Proficiency with SQL-based validation, warehouse testing, performance considerations, and reconciliation of large datasets in Amazon Redshift.
- Experience testing Fivetran connectors, schema replication, incremental loads, synchronization behavior, and source-to-destination completeness.
- Hands-on knowledge of Databricks Lakehouse testing, notebooks, Spark-based processing, Delta tables, medallion architecture, and pipeline validation.
- Experience validating dbt models, dependencies, tests, documentation, snapshots, incremental strategies, and deployment workflows.
- Working knowledge of SAS and Oracle, including migration, coexistence, reconciliation, and modernization scenarios.
- Advanced SQL and data-analysis skills for investigating complex data issues and validating high-volume datasets.
- Familiarity with automated data testing, version control, CI/CD, test management, and defect-tracking tools.
- Ability to lead distributed cross-functional testing teams across concurrent workstreams and manage third-party partners and delivery dependencies.
- Strong planning, prioritization, governance, risk management, decision-making, communication, stakeholder management, and problem-solving skills.
- Ability to translate business rules and data mappings into risk-based test coverage and report effectively to senior stakeholders.
- Experience working in Agile, iterative, and hybrid delivery environments is required; third-party partner and senior stakeholder management experience is desirable.
Benefits
- Full-time role with opportunities to pursue innovative career tracks and professional growth.
- Education, dedicated training, and opportunities to collaborate with talented colleagues.
- Compensation, benefits, and wellness packages.
- Supportive, diverse, and collaborative work environment.
Tech Stack
Categories
Data EngineeringTesting
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.