{"id":3323294,"url":"https://alion.io/job/epam-systems-big-data-test-manager-enterprise-data-lakehouse","title":"Big Data Test Manager - Enterprise Data Lakehouse","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"C","score":59,"open_postings":85,"ghost_share":0.612,"stale_share":0,"repost_share":0.294,"time_to_fill_p50_days":31,"computed_at":"2026-11-11T05:49:22Z"}},"role":"QA","role_family":"QA","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":160000,"currency":"CHF","period":"year","gross":null,"usd_annual":193357},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon S3","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false}],"status":"live","first_seen_at":"2026-10-26T23:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T23:00:00Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"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.\nWe offer/Benefits\n- 5 weeks of vacation\n- EPAM Employee Stock Purchase Plan (ESPP)\n- Enhanced parental leave\n- Extended pension plan\n- Daily sickness allowance insurance\n- Employee assistance program\n- Global business travel medical and accident insurance\n- Learning and development opportunities including in-house training and coaching, professional certifications, and courses\n*All benefits and perks are subject to certain eligibility requirements\n- Please note that any offers will be subject to appropriate background checks\n- We do not accept CVs from recruiting or staffing agencies\n- For this position, we are able to consider applications from the following:\n- Swiss nationals\n- EU/EFTA nationals\n- Third-country nationals based in Switzerland with an appropriate work permit\n- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits\nRequirements\n- 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)\n- Strong understanding of data testing vs. traditional application testing, with hands-on expertise in data quality validation, reconciliation, schema drift and data lineage\n- Hands-on experience in test automation for data pipelines, APIs and data platform services using industry-standard tools and scripting frameworks\n- Experience coordinating integration and regression testing across distributed, multi-application environments without direct ownership of downstream systems\n- Familiarity with modern data platform infrastructure and operations, including Kubernetes, S3 Object Storage and containerized DevOps pipelines\n- Experience implementing and scaling test automation frameworks designed specifically for high-volume data validation and pipeline testing (as opposed to standard UI-centric automation)\n- Excellent stakeholder management and communication skills to lead testing in global, regulated environments\n- Higher education in Computer Science, Engineering or related field preferred\n- English proficiency required; German language skills are an advantage\nResponsibilities\n- Define and lead the end-to-end test strategy for a large-scale enterprise Data Lakehouse program supporting banking data products and platform services\n- 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\n- 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\n- Ensure robust test data management and coordinate integration testing across the clients 70+ connected consuming applications and globally distributed environments\n- Oversee testing for two key areas, Data pipelines and banking domain data products and Platform-as-a-Service capabilities for the Data Lakehouse\n- Establish test governance, entry/exit criteria, defect management processes and quality standards across multiple workstreams\n- Collaborate with data engineers, platform teams, product owners and application owners to resolve cross-functional issues and influence test coverage alignment\n- Drive production readiness and release validation activities for platform and data ecosystem changes","description_format":"text","description_chars":3933,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"All 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