Sr Data Quality & Observability Engineer (Snowflake)

Lamb Weston is continuing to modernize its enterprise data ecosystem to support high-quality analytics, reporting, and decision-making across the business. As part of this transformation, the Senior Data Quality & Observability Engineer plays a critical role in ensuring enterprise data is accurate, consistent, reliable, and fit for purpose through measurable data quality and data observability practices. This role combines strong technical data engineering and data analysis skills with business analysis capabilities and hands-on experience driving enterprise data quality and data observability initiatives. The individual will work closely with data engineering, data governance, SAP, and business stakeholders to profile data, define and implement automated quality rules, establish quality SLAs, monitor quality metrics, and resolve data issues at their source. This role owns the design and implementation of scalable, reusable data quality controls embedded in Snowflake ELT pipelines and downstream consumption layers. SAP experience is highly valued, as this role will support data quality across SAP master and transactional data domains integrated into Snowflake and downstream analytics platforms. Snowflake or Informatica data quality development expertise is required, including hands-on implementation of data quality logic using Snowflake SQL and native capabilities.