Quality Analyst Lead

About the role

Amerihealth Caritas is seeking a Data QA Lead with strong experience in the healthcare Payer domain to lead data quality assurance initiatives. The ideal candidate will have expertise in HEDIS, CMS Interoperability (FHIR), payer data standards, and hands-on experience with Azure Data Platform (Databricks, ADF pipelines). The focus is on ensuring data accuracy, reliability, and compliance while collaborating with data engineers, architects, and business stakeholders.

Work Arrangement

This is a 100% Remote position but you must live in EST time zone.

Responsibilities

• Leadership & Strategy
  • Define and own the Data QA strategy for enterprise data platforms
  • Lead and mentor a team of data QA analysts/testers across multiple projects
  • Establish data quality SLAs, metrics, and dashboards for business-critical datasets
• Data Testing & Validation
  • Design and implement test plans, test cases, and test automation for data pipelines (ELT/ETL)
  • Validate payer data, including claims, membership, provider, and clinical datasets
  • Conduct FHIR-based API testing for CMS Interoperability compliance
  • Validate HEDIS measure calculations and quality reporting data
• Automation Strategy & Framework
  • Define QA automation strategy for Databricks (Delta Live Tables, Delta constraints) and ADF pipelines
  • Implement reusable testing suites and integrate with CI/CD workflows
• Pipeline Quality Automation
  • Embed DLT expectations and enforce Delta table constraints for schema and business rule validation
  • Automate ADF pre/post-copy checks, schema drift detection, and reconciliation logic
• CI/CD Integration
  • Develop Azure DevOps pipelines with QA gates for Databricks Jobs/DLT and ADF deployments
• Technical Delivery
  • Collaborate with Azure Data Factory (ADF), Databricks, and Snowflake engineering teams to ensure end-to-end data quality
  • Build and maintain data quality automation frameworks leveraging PySpark, SQL, and Python
  • Work with data governance and business teams to resolve data quality issues
• Performance & Scalability
  • Design automated load and stress tests for large-scale data pipelines
• Compliance & Best Practices
  • Ensure data QA practices adhere to HIPAA, CMS, and payer industry standards
  • Partner with data governance teams to validate data lineage and traceability
  • Document QA processes, test results, and provide audit-ready evidence

Education And Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• At least ten (10)+ years in data QA/testing, with at least 5 years in a lead role
• Strong expertise in Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog)
• Hands-on experience with Azure Data Factory (pipelines, monitoring, CI/CD)
• Proficiency in Python, PySpark, SQL for test automation
• Familiarity with Great Expectations, Azure DevOps, and/or Collibra
• Knowledge of data governance, PII compliance, and data quality frameworks
• Experience in CI/CD pipelines, DevOps practices, and cloud data platforms
• Strong communication and leadership abilities for cross-functional teamwork

Other Skills

• Preferred experience with HL7/FHIR data models beyond payer use cases
• Experience with Lakehouse architecture and medallion design patterns
• Familiarity with BI tools (Power BI, Tableau) to validate reporting layer data
• Understanding of data governance platforms (e.g., Collibra)
• Knowledge of automation frameworks for data QA and pipeline regression testing
• Certifications: Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer

Requirements

• 100% remote work requires reliable high-speed internet (minimum 50 Mbps download / 5 Mbps upload)
• Must reside in the EST time zone