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EPAM
Open role

Big Data Test Manager - Enterprise Data Lakehouse

EPAMSwitzerland, Zurich
Work model
Hybrid
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
9 tags

Technology context

9

Parsed from the vacancy text; ordered by relevance to this role.

KubernetesDevOpsCI/CDAutomationBig DataData LakehouseData Quality EngineeringData Transformation ConceptsTest strategy

Full listing

Role description

We're looking for a Big Data Test Manager to join our team in Zürich, Switzerland, in a hybrid working mode. In this role, you will define and lead the end-to-end test strategy for a large-scale enterprise Data Lakehouse program supporting banking data products and platform services. This position requires a strong understanding of data platform testing, high-quality delivery and the ability to coordinate across a globally distributed team in a regulated environment.

Responsibilities

  • Lead the end-to-end test strategy, planning, governance and execution across complex enterprise data ecosystems
  • Oversee testing for two key areas, Data pipelines and banking domain data products and Platform-as-a-Service capabilities for the Data Lakehouse
  • Manage integration testing and dependency coordination across 70+ connected applications, ensuring environment and test data availability
  • Define and implement test automation initiatives for data validation, regression and platform functional testing leveraging DevOps and CI/CD practices in a Kubernetes-based environment
  • Establish test governance, entry/exit criteria, defect management processes and quality standards across multiple workstreams
  • Collaborate with data engineers, platform teams, product owners and application owners to resolve cross-functional issues and influence test coverage alignment
  • Drive production readiness and release validation activities for platform and data ecosystem changes

Requirements

  • Proven experience as a Test Manager or Senior Test Lead in large-scale enterprise data platforms (Data Lakehouse, Data Lakes, Data Warehouses)
  • Strong knowledge of data testing methodologies, including data quality, reconciliation, lineage validation, schema checks and ETL/ELT process testing
  • Hands-on experience in test automation for data pipelines, APIs and data platform services using industry-standard tools and scripting frameworks
  • Experience coordinating integration and regression testing across distributed, multi-application environments without direct ownership of downstream systems
  • Familiarity with test data management, release validation and managing test environments for multiple dependencies
  • Exposure to modern data platform technologies (e.g., Kubernetes, S3 Object Storage, VMware) and CI/CD in data environments
  • Excellent stakeholder management and communication skills to lead testing in global, regulated environments
  • Higher education in Computer Science, Engineering or related field preferred
  • English proficiency required; German language skills are an advantage

Nice to have

  • Previous experience in financial services/banking or other highly regulated sectors
  • Understanding of data governance, regulatory controls and data lineage frameworks