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Provide technical leadership for enterprise data analytics: design analytical architectures, implement systems and databases, apply statistical and engineering methods, build and optimize SQL analytical structures, guide BI platform selection, ensure data quality and performance, perform tradeoff analyses, collaborate cross-functionally, and communicate findings to non-technical stakeholders.

Design, execute, and maintain manual and automated tests for web, API, cloud-native, and AI-enabled applications. Develop test plans and frameworks, integrate automated tests into CI/CD, validate data and databases, track defects, perform security and performance testing, and support Agile ceremonies to ensure product quality and compliance.

Design, build, and maintain scalable cloud and on-prem data architectures and ELT/ETL pipelines. Ensure data quality, lineage, and security; prepare data for AI/ML and analytics. Collaborate with analysts, AI engineers, and software teams, automate ingestion and transformation, and optimize performance and cost.