Airgas Inc-posted about 2 months ago
$110,000 - $160,000/Yr
Full-time • Mid Level
Remote • Radnor, PA
5,001-10,000 employees
Building Material and Garden Equipment and Supplies Dealers

The Data Quality Lead will play a key role in ensuring that Airgas' enterprise data assets meet the highest standards of accuracy, consistency, completeness, and timeliness. This role is responsible for designing, implementing, and automating data quality checks and remediation processes across critical data pipelines and systems. The Data Quality Engineer will work closely with data stewards, governance leaders, and business units to monitor data health, troubleshoot issues, and embed sustainable quality practices into Airgas' modern data platforms.

  • Design and implement data quality rules, metrics, and validation checks across enterprise data platforms.
  • Partner with the Head of Data Governance to align quality standards with enterprise governance policies
  • Develop automated data quality pipelines and monitoring solutions (e.g., Great Expectations, dbt tests, custom Python/SQL frameworks).
  • Ensure that data quality checks into ETL/ELT workflows and CI/CD pipelines.
  • Troubleshoot and resolve data integrity issues in partnership with data engineering and business teams.
  • Build dashboards and alerts to continuously monitor data quality KPIs (accuracy, timeliness, completeness, conformity, consistency).
  • Provide root-cause analysis and drive remediation for recurring data quality issues.
  • Work with business stewards to translate data definitions and requirements into executable quality rules.
  • Evangelize best practices for data validation, testing, and quality assurance.
  • Provide guidance and training to technical and business teams on how to apply data quality tools.
  • Build a culture of data quality literacy across Airgas.
  • Provide training and support to data stewards, analysts, and business users.
  • Evangelize the role of data quality in enabling digital transformation, customer experience, and AI-driven innovation.
  • Bachelor's Degree from an accredited institution is required.
  • 10+ years in data management, data quality, or data strategy leadership roles.
  • 5+ years in cloud and modern data platforms (GCP, AWS, etc.)
  • Proven track record in data quality/data management programs in complex, multi-division organizations.
  • Experience working with data quality and metadata tools.
  • Master's degree is preferred.
  • Experience in AI is a plus
  • Previously FTE management experience a plus
  • medical, dental, and vision plans
  • vacation, sick time, floating holidays, and paid holidays for full-time employees
  • progressive parental leave package
  • 401k plan with company matching funds
  • tuition reimbursement
  • discounted college tuition for employees' dependents
  • Airgas Scholarship Program
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