Remote Data Architect: Test Data & Masking for Healthcare

StaffXpert LLC

United States

Remote

USD 120,000 - 180,000

Full time

4 days ago
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Job summary

STAFFXPERT LLC is seeking a Data Architect for a 12+ months contract (remote) to lead Test Data Management, data masking, and platform integrity in regulated environments. The role focuses on designing and operating production-scale test data solutions with emphasis on security, compliance, and cost efficiency, particularly in healthcare data contexts.

The ideal candidate has hands-on experience in data subsetting, synthetic data generation, referential integrity, and masking; you will partner

Qualifications

  • 8+ years of experience in data engineering or data architecture.
  • Hands-on experience with Test Data Management and data masking.
  • Experience in large-scale regulated healthcare environments with PHI/PII.
  • Ability to design production-scale test data solutions while ensuring security and compliance.

Responsibilities

  • Design, implement, and manage enterprise-scale Test Data Management solutions.
  • Own production-scale test data processes including subsetting, generation, masking, and refresh strategies.
  • Maintain referential integrity across applications, platforms, and data sources.
  • Develop and maintain certified masking solutions for PHI and PII data.
  • Plan test data refresh schedules based on business demand and environment capacity.
  • Optimize storage and compute across non-production environments.
  • Collaborate with engineering, testing, architecture, security, and platform teams.

Skills

Data engineering
Data architecture
Test Data Management
PHI/PII handling
Compliance

Job description

STAFFXPERT LLC is seeking a Data Architect for a 12+ months contract (remote) to lead Test Data Management, data masking, and platform integrity in regulated environments. The role focuses on designing and operating production-scale test data solutions with emphasis on security, compliance, and cost efficiency, particularly in healthcare data contexts.

The ideal candidate has hands-on experience in data subsetting, synthetic data generation, referential integrity, and masking; you will partner

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