Senior Data Quality Engineer, Observability, Snowflake

This is a fully remote position, open to applicants in Idaho.

📋 Description

• Design, implement, and sustain data quality standards, checks, and controls across enterprise data assets.

• Conduct data profiling, root cause analysis, and anomaly detection across both SAP and non-SAP data sources.

• Collaborate with business stakeholders to identify data quality challenges, business implications, and remediation priorities.

• Convert business requirements into quantifiable data quality rules and thresholds.

• Develop and support data quality frameworks, including reusable SQL patterns, UDFs, and stored procedures.

• Establish automated scheduling and orchestration of data quality checks utilizing Snowflake-native features (e.g., tasks, streams) and/or pipeline orchestration tools (e.g., Informatica).

• Create data quality monitoring and observability scorecards, along with reporting for key metadata domains.

• Own and enhance enterprise data quality KPIs/scorecards, encompassing standardized definitions, thresholds, and executive-ready reporting across domains.

• Analyze data discrepancies and ensure reconciliation with systems of record.

• Lead issue management workflows, including defect triage, prioritization, root cause documentation, validation of corrective actions, and prevention recommendations.

• Contribute to the documentation of data quality standards, rules, and operational procedures.

• Assist in user acceptance testing and quality assurance for new or improved data assets.

• Provide insights and feedback to enhance enterprise data quality processes and tools.

⛳️ 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.

• Proficient SQL skills and experience working with large, intricate datasets.

• Practical experience in data quality, including the implementation of data quality logic using SQL and data functions (e.g., window functions, conditional logic, string/date functions, aggregations, table functions/CTEs).

• Proven experience with data profiling, data validation, and data quality frameworks.

• Familiarity with Git-based version control, code review practices, and deploying changes through SDLC/CI-CD processes.

• Experience in SAP data environments (ECC, S/4HANA, BW, or HANA).

• Business Analyst competencies, including requirements gathering, documentation, and stakeholder facilitation.

• Knowledge of cloud data platforms such as Snowflake and AWS is preferred.

• Understanding of data governance, metadata, and lineage concepts.

• Strong analytical, problem-solving, and communication abilities.

• Capability to work collaboratively in cross-functional teams.

• Willingness 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