Strong working knowledge of data warehousing, Structured Query Language (SQL), Snowflake, Cortex capabilities, AI agents, and Model Context Protocol (MCP) is required to guide decisions and assess solution designs, without serving as the primary hands-on engineering delivery role. . Maintain a broad understanding of near real-time shop-floor and laboratory integration patterns, including how data from manufacturing execution systems, process control systems, historians, equipment, and laboratory information management systems is extracted, contextualized, transformed, reconciled, governed, and made available in PGS OPS. .