Big Data Test Manager - Enterprise Data Lakehouse

We are 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.

We offer/Benefits

- 5 weeks of vacation

- EPAM Employee Stock Purchase Plan (ESPP)

- Enhanced parental leave

- Extended pension plan

- Daily sickness allowance insurance

- Employee assistance program

- Global business travel medical and accident insurance

- Learning and development opportunities including in-house training and coaching, professional certifications, and courses

*All benefits and perks are subject to certain eligibility requirements

- 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

Requirements

- Proven experience managing testing within large-scale enterprise data platforms, such as Data Lakes, Data Lakehouses or modern Data Warehouses (ideally in highly regulated environments like Banking)

- Strong understanding of data testing vs. traditional application testing, with hands-on expertise in data quality validation, reconciliation, schema drift and data lineage

- 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 modern data platform infrastructure and operations, including Kubernetes, S3 Object Storage and containerized DevOps pipelines

- Experience implementing and scaling test automation frameworks designed specifically for high-volume data validation and pipeline testing (as opposed to standard UI-centric automation)

- 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

Responsibilities

- Define and lead the end-to-end test strategy for a large-scale enterprise Data Lakehouse program supporting banking data products and platform services

- Lead the end-to-end test strategy for our clients enterprise-level Data Lakehouse program, ensuring the validation of complex ETL/ELT pipelines, transformations and downstream banking data products

- Drive and design test automation initiatives specifically tailored for the clients data validation, data quality reconciliation and pipeline execution within Kubernetes-based CI/CD environments

- Ensure robust test data management and coordinate integration testing across the clients 70+ connected consuming applications and globally distributed environments

- Oversee testing for two key areas, Data pipelines and banking domain data products and Platform-as-a-Service capabilities for the Data Lakehouse

- 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