QA AI Snowflake Architect

Data Quality & Migration Test Architect

Required

Skills & Experience:

10+ years of experience in data quality architecture, data testing, validation, and large-scale migration reconciliation. Hands-on experience with Agentic AI tools, AI agents, or autonomous testing frameworks, with the ability to define how AI can be incorporated into data quality and testing processes. Advanced SQL expertise for complex, large-scale data reconciliation, profiling, validation, and root-cause analysis. Strong Python experience for building scalable test automation frameworks and integrating automated testing into CI/CD pipelines.

Deep experience with Snowflake and modern cloud data platforms, including data architecture, ingestion, transformation, and validation patterns. Experience architecting data quality and testing solutions across complex ETL/ELT pipelines and enterprise data ecosystems. Strong API and PostgreSQL testing experience, including validation of data across integrated systems. Ability to identify data quality risks and provide architectural recommendations for improving scalability, automation, and overall data reliability.

Job Description:

We are seeking a Data Quality & Migration Test Architect to define and lead the architecture, strategy, and governance for data validation, migration reconciliation, and quality engineering across enterprise data platforms. This role will establish scalable testing frameworks, ensure data integrity across complex migrations, drive automation and AI-enabled testing strategies, and provide technical leadership across development, QA, data engineering, and business teams.

The architect will also own quality standards, migration sign-off criteria, and release gates across the data lifecycle.