Sr Data Quality & Observability Engineer (Snowflake)

Lamb Weston is a leading manufacturer in the food industry, known for bringing people together with foods they love. The Senior Data Quality & Observability Engineer will ensure enterprise data is accurate, consistent, and reliable by implementing data quality practices and collaborating with various stakeholders.

Responsibilities:

• 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

Requirements:

• 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
• 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