Sr Data Quality & Observability Engineer (Snowflake)

Title: Sr Data Quality & Observability Engineer (Snowflake)

               

Location: Statewide Multi Use, ID

               

Job Requisition ID: Req-260809

               

Time Type: Full time

               

About Lamb Weston

You’ve probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world. 

A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You’ll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you’ll join a winning team of 10,000+ people all dedicated to raising the bar – together.

If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you.

Job Description Summary

               

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.

Job Description

• Design, implement, and maintain data quality rules, checks, and controls across enterprise data assets.
• Perform data profiling, root cause analysis, and anomaly detection across SAP and non-SAP data sources.
• Partner with business stakeholders to understand data quality issues, business impacts, and remediation priorities.
• Translate business requirements into measurable data quality rules and thresholds.
• Develop and maintain data quality frameworks, including reusable SQL patterns, UDFs, stored procedures.
• Implement automated scheduling and orchestration of data quality checks using Snowflake-native capabilities (e.g., tasks, streams) and/or pipeline orchestration tools (ie: Informatica).
• Implement data quality monitoring and observability scorecards, and reporting for key metadata domains.
• Own and evolve enterprise data quality KPIs/scorecards, including standardized definitions, thresholds, and executive-ready reporting across domains.
• Analyze data discrepancies and ensure reconciliation back to systems of record.
• Lead issue management workflows, including defect triage, prioritization, root cause documentation, corrective action validation, and prevention recommendations.
• Contribute to documentation of data quality standards, rules, and operational procedures.
• Assist in user acceptance testing and quality assurance for new or enhanced data assets.
• Provide input and feedback to improve enterprise data quality processes and tooling.

Basic & Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent experience.
• 5+ years of experience in data analysis, data quality, or analytics engineering roles.
• Strong SQL skills and experience working with large, complex datasets.
• Hands-on data quality experience, including implementing data quality logic using SQL and data functions (e.g., window functions, conditional logic, string/date functions, aggregations,