Job Description

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,...

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