Jobs → QA & Testing → ETL Test Architect

About the Role We are seeking an experienced ETL Test Architect with 10+ years of QA experience, specializing in ETL testing, data validation, automated testing infrastructure, and Data QA strategy. Key Responsibilities • Design and implement comprehensive ETL testing and Data QA strategies • Build and maintain automated ETL validation infrastructure and regression testing frameworks • Validate data transformations, data integrity, accuracy, completeness, and consistency across pipelines • Troubleshoot failed ETL jobs and identify data quality issues across pipeline stages • Develop scalable automation frameworks for data validation and quality assurance • Work with data engineering and AI engineering teams to improve testing processes • Test RAG-based LLM applications and evaluate AI-generated outputs • Implement LLM-as-a-Judge testing and AI evaluation using DeepEval • Work with OpenCode multi-agent workflows, Claude Code, Codex, MCP servers, and GitHub Copilot • Support testing and validation of Databricks-native AI capabilities • Identify opportunities to improve test automation using AI-assisted development tools and workflows Requirements • 10+ years of QA experience, with strong expertise in ETL testing and data validation • Proven experience creating ETL testing frameworks, automated validation infrastructure, and Data QA strategies • Strong understanding of data pipelines, data transformations, and ETL job troubleshooting • Hands-on experience with AI engineering and testing workflows • Experience with RAG-based LLM applications and LLM evaluation techniques • Familiarity with DeepEval and LLM-as-a-Judge testing • Experience or practical exposure to OpenCode, Claude Code, Codex, MCP servers, and GitHub Copilot • Knowledge of Databricks-native AI capabilities and AI-driven testing workflows • Strong analytical, debugging, problem-solving, and communication skills