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Tier-1 brand plus mid-level generalist data role in metro with broad tool requirements increases candidate competition.
Data-quality skills transfer across industries but life-sciences/regulatory experience is preferred, so moderate sensitivity.
Explicit 3-5 years plus mandated data-quality tools, SQL, Python and Databricks raises shortlisting rigor.
Analyze, monitor, and improve enterprise data quality across platforms and migration programs.
Perform advanced data profiling, validation, root-cause analysis, and lead remediation of data quality defects.
Develop and implement data quality standards, controls, automated checks, and reporting for business and technology stakeholders.
Bachelor's degree in Information Systems, Computer Science, Engineering, Data Management, or related field.
3-5 years professional experience in Data Quality, Data Management, Data Engineering, or Data Governance.
Hands-on experience with enterprise data quality tools (e.g., SODA, Collibra Data Quality, Ataccama, Informatica Data Quality).
Proficiency in SQL and Python, and experience working with cloud platforms such as Amazon S3 and Databricks.
Experienced in complex data quality defect resolution across integrated data environments involving multiple stakeholders.
Able to translate technical data quality findings into actionable recommendations and communicate clearly to both technical and business audiences.
Familiar with automating data quality monitoring and reporting processes and applying advanced capabilities like data observability or AI-driven quality improvements.