Title: Sr Data Quality & Observability Engineer (Snowflake)Location: Statewide Multi Use, ID

               

Job Requisition ID: Req-260809

               

Time Type: Full time

               

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, table functions/CTEs).
• Demonstrated experience with data profiling, data validation, and data quality frameworks.
• Experience with Git-based version control, code review practices, and deploying changes through SDLC/CI-CD processes.
• Experience working in SAP data environments (ECC, S/4HANA, BW, or HANA)
• Business Analyst skills, including requirements gathering, documentation, and stakeholder facilitation.
• Familiarity with cloud data platforms such as Snowflake and AWS preferred.
• Understanding of data governance, metadata, and lineage concepts.
• Strong analytical, problem-solving, and communication skills.
• Ability to work collaboratively in cross-functional teams.
• Ability to travel up to 10 percent.

Preferred Qualifications
 

• Experience supporting Master Data domains such as Customer, Vendor, Material, or Finance.
• Experience with data quality or governance tools.
• Familiarity with Agile delivery methodologies.
• Passion for learning new technologies and continuously improving data quality practices.

Industry-Competitive Benefits

Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive.  Some of the most attractive elements of our benefit programs include:

• Health Insurance Benefits - Medical, Dental, Vision

• Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts

• Well-being programs including companywide events and a wellness incentive program

• Paid Time Off

• Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance

• Family-Friendly Employee events

• Employee Assistance Program services – mental health and other concierge type services

Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements.

               

Anticipated Close Date

The anticipated close date is a good faith estimate for when this job will be closed. Some jobs may be unposted or filled earlier or later than the Anticipated Close Date depending on interview processes and business needs.

               

Anticipated Close Date: 07/27/2026

               

Pay Transparency

In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate's work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable annual estimate of the range for this role is listed below.

               

Pay Rate or Range: $117,060.00 - $175,600.00