Data Quality Lead Job at Airgas, Inc., Miami, FL

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  • Airgas, Inc.
  • Miami, FL

Job Description

Data Quality Lead (Open)

Location: Radnor, PA (Airgas HO) - Management - ASG

At Airgas, we are committed to building a diverse and inclusive workplace that embraces the diversity of our employees, customers, and community stakeholders. Airgas is hiring a REMOTE Data Quality Lead !

  • The ideal candidate would be located on the East Coast, however we are open to other locations within the US.
  • Base Pay: $110,000 to $160,000 annual

Job Description Summary

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 are integrated 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 rootcause 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.
  • Evangelize the role of data quality in enabling digital transformation, customer experience, and AIdriven innovation.

Required Qualifications

  • Bachelor's Degree from an accredited institution.
  • 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, multidivision organizations.
  • Experience working with data quality and metadata tools.

Preferred Qualifications

  • Master's degree.
  • Experience in AI.
  • Previously FTE management experience.

Benefits

We care about and support all Airgas associates. Our comprehensive benefits package includes medical, dental, and vision plans, vacation, sick time, floating holidays, and paid holidays for fulltime employees. We offer a progressive parental leave package, a 401(k) plan with company matching, tuition reimbursement, discounted college tuition for employees' dependents, and an Airgas Scholarship Program.

Equal Employment Opportunity Information

We are an equal opportunity employer. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Airgas is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974 and Section 503 of the Rehabilitation Act of 1973. Airgas does not discriminate against qualified applicants with disabilities and is committed to providing reasonable accommodations. If you are an individual with a disability and would like to request a reasonable accommodation, please contact us by email at usaccommodationrequest@airgas.com.

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Job Tags

Full time, For contractors, Remote work,

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