Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field
Or related experience
Typically requires 7+ years of experience in data quality, data observability, data engineering, or data governance, including direct experience building (not just documenting) a data quality capability within a large, complex organization
Proven experience designing data quality frameworks and implementing data observability tooling and practices
Strong understanding of data pipelines, data architecture, and how quality and observability checks integrate into ETL/ELT and streaming workflows
Hands-on experience with data quality/observability platforms (e.g., Collibra, Informatica, Monte Carlo, Great Expectations, Soda) and catalog/lineage tools (e.g., Alation, Informatica Axon)
Proficiency with SQL and at least one scripting language