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
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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
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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
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Previous experience in financial services/banking or other highly regulated sectors
- Understanding of data governance, regulatory controls and data lineage frameworks
We offer
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5 weeks of vacation
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EPAM Employee Stock Purchase Plan (ESPP)
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Enhanced parental leave
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Extended pension plan
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Daily sickness allowance insurance
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Employee assistance program
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Global business travel medical and accident insurance
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Learning and development opportunities including in-house training and coaching, professional certifications, and courses
- Please note that any offers will be subject to appropriate background checks
- We do not accept CVs from recruiting or staffing agencies
- For this position, we are able to consider applications from the following:
- Swiss nationals
- EU/EFTA nationals
- Third-country nationals based in Switzerland with an appropriate work permit
- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits
