QA lead

TechDigital

  • St Louis, MO
  • 2 days ago

    Highlights

    Act as a liaison between Product leaders, Delivery Leaders / Technical managers, End Users and QA Testers to ensure alignment on data quality goals . Required: • 15+ years of experience in data quality testing, data validation, or data engineering QA, with at least 3+ years in a leadership role.

    Numbers & Facts

    LocationSt Louis, MO
    IndustryOther/Not Classified
    Company Size100 to 499 employees

    Description

    • Key responsibilities:
      1.    Data Quality Strategy & Leadership:

      •    Define and execute a comprehensive data quality testing strategy for data products, data services, and integrations.
      •    Establish best practices for data validation, reconciliation, and anomaly detection.
      •    Develop data quality KPIs and metrics to measure and improve data reliability.
      •    Lead and mentor a team of data testers and QA engineers to drive excellence in data testing.
      2.    End-to-End Data Testing & Automation:
      •    Oversee functional, integration, regression, and performance testing of data pipelines and ETL processes.
      •    Implement automated data validation frameworks using Python, SQL, and cloud-native tools.
      •    Drive the integration of test automation into CI/CD/CT pipelines for continuous data quality assurance.
      •    Define and enforce data testing standards across teams to ensure consistency and accuracy.
      3.    Integration & Performance Testing:
      •    Lead data API and service integration testing to validate data flows between systems.
      •    Conduct performance and scalability testing to ensure the efficiency of data pipelines and queries.
      •    Collaborate with data engineers, architects, and DevOps teams to optimize data processing workflows.
      4.    Governance, Compliance & Issue Resolution:
      •    Ensure compliance with regulatory and security standards (e.g., HIPAA, GDPR etc).
      •    Establish and maintain data lineage, metadata validation, and data governance controls.
      •    Manage and drive resolution of data quality issues, defects, and anomalies through proactive monitoring.
      •    Act as a liaison between Product leaders, Delivery Leaders / Technical managers,  End Users and QA Testers to ensure alignment on data quality goals.

      Required Work Experience:

      Lead and drive the end-to-end data quality strategy for our enterprise data products and services.
      Required:
      •    15+ years of experience in data quality testing, data validation, or data engineering QA, with at least 3+ years in a leadership role.
      •    Expertise in data warehouse, data lake, and ETL testing on cloud-based platforms (preferably GCP BigQuery).
      •    Strong proficiency in SQL and Python for data validation and automation.
      •    Experience with data testing frameworks (e.g., Great Expectations, dbt tests, Deequ).
      •    Proven track record of test automation, CI/CD integration, and performance testing.
      •    Defining Test Data requirements / Test Bed for large projects / programs
      •    Strong analytical and problem-solving skills with the ability to debug complex data issues.
      •    Excellent leadership, communication, and stakeholder management skills.
      Preferred:
      •    Experience in healthcare data platforms and compliance regulations (HIPAA, FHIR, HL7).
      •    Familiarity with data observability, metadata management, and governance tools (e.g., Collibra, Monte Carlo).
      •    Knowledge of GCP data services, including Dataflow, Pub/Sub, and Cloud Storage.
      •    Experience in data API testing and service validation.

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