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Lamb Weston

Seeing possibilities in potatoes and making great fries loved the world over. Join our team of potato experts!

Senior Data Quality Engineer, Observability, Snowflake

EngineerEngineerFull TimeRemoteSeniorTeam 5,001-10,000H1B SponsorCompany SiteLinkedIn

Location

Idaho

Posted

2 days ago

Salary

$117.1K - $175.6K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSCloudInformaticaSDLCSQL

Job Description

Senior Data Quality Engineer, Observability, Snowflake

Lamb Weston

• 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.

Job 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.

Benefits

  • 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

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