[Remote] TDM Data Architect With Healthcare Domain :: Remote

Note: The job is a remote job and is open to candidates in USA. A To Z Tech Exchange is seeking a Data Engineer / Data Architect specializing in Test Data Management for a regulated healthcare environment. The role designs and manages enterprise test data solutions, including data provisioning, masking, refresh, cloud management, and governance, while protecting sensitive information and maintaining data quality and platform integrity.

Responsibilities

• Design, implement, and maintain enterprise Test Data Management solutions for large-scale healthcare applications
• Manage the complete test data lifecycle, including data discovery, profiling, subsetting, provisioning, refresh, versioning, and retirement
• Develop and maintain test data strategies that support functional testing, integration testing, regression testing, performance testing, and end-to-end testing
• Create production-like test datasets while preserving data relationships, business rules, and referential integrity across interconnected systems
• Implement data subsetting and synthetic data generation strategies to provide realistic datasets without unnecessarily duplicating entire production databases
• Establish standardized processes for test data provisioning, refresh schedules, data quality validation, and environment readiness
• Coordinate test data demand across multiple teams and applications, ensuring datasets are available when needed
• Define and maintain a consistent test data management framework across different application groups and testing environments
• Optimize test data availability, reuse, storage consumption, and provisioning turnaround time
• Establish governance, documentation, and operational metrics to measure test data quality, coverage, availability, and cost
• Design and implement data masking solutions to protect sensitive healthcare and personal information in non-production environments
• Apply masking techniques to PHI, PII, and other confidential data elements in accordance with organizational security policies and applicable regulatory requirements
• Develop consistent masking standards across databases, applications, files, and integrated systems
• Implement static and dynamic data masking techniques where appropriate
• Ensure referential integrity and business usability are preserved after masking across related tables, applications, and datasets
• Validate masking effectiveness and ensure sensitive information cannot be exposed through test environments
• Support compliance assessments, data protection reviews, audit requirements, and evidence collection
• Collaborate with security, privacy, compliance, data governance, and application teams to establish approved masking policies
• Maintain reusable masking rules, metadata, and configurations for repeatable test data refresh cycles
• Design and implement cloud-based test data management solutions across enterprise data platforms
• Provision, refresh, and manage test datasets in cloud-hosted development, testing, staging, and quality assurance environments
• Leverage cloud storage, database services, automation, and infrastructure capabilities to improve test data provisioning and management
• Automate test data refresh, masking, validation, and distribution workflows
• Optimize cloud storage and compute consumption while maintaining data availability and performance
• Implement appropriate access controls, encryption, monitoring, and data retention policies for test data
• Support integration between cloud-based platforms, enterprise applications, and existing on-premises data systems
• Evaluate opportunities to use cloud-native services for scalable, secure, and cost-effective test data management
• Design and manage storage strategies for production-scale datasets across lower environments
• Maintain data consistency, completeness, accuracy, and referential integrity across interconnected systems
• Define data retention, archival, refresh, and cleanup strategies for non-production environments
• Monitor storage utilization, compute consumption, database performance, and environment capacity
• Optimize data storage and processing costs without compromising test coverage or data quality
• Ensure consistent platform configurations and reliable data availability across testing environments
• Establish validation checks to identify data corruption, missing relationships, duplicate records, and inconsistencies after data refresh or masking
• Collaborate with database administrators, cloud engineers, application teams, and platform engineering teams to maintain environment stability
• Establish a predictable test data refresh calendar aligned with application release schedules and testing demand
• Plan test data provisioning and refresh activities across multiple application groups and environments
• Incorporate demand from all participating teams into a unified capacity and refresh planning process rather than maintaining duplicated processes for separate application groups
• Automate recurring refresh, masking, data validation, and provisioning activities
• Define service-level expectations for dataset availability, refresh completion, and issue resolution
• Monitor refresh failures, data quality issues, storage growth, and infrastructure utilization
• Coordinate with development, QA, performance testing, release management, and infrastructure teams to ensure timely data availability
• Define the target architecture and technical roadmap for enterprise Test Data Management capabilities
• Establish reusable standards, patterns, and best practices for test data provisioning, masking, and lifecycle management
• Work with business stakeholders, architects, developers, testers, security teams, and compliance teams to translate requirements into technical solutions
• Maintain architecture documentation, data flow diagrams, masking specifications, and operational procedures
• Identify opportunities to improve test data automation, scalability, governance, and operational efficiency
• Lead technical discussions, resolve complex data management issues, and provide guidance to engineering teams
• Ensure solutions support enterprise scalability, security, maintainability, and regulatory compliance

Skills

• 8+ years of professional experience in data engineering, data architecture, database management, or related technical roles
• Strong hands-on experience with Test Data Management (TDM) in large enterprise environments
• Healthcare industry experience, particularly with regulated data and complex healthcare applications
• Proven experience implementing data masking solutions for PHI, PII, and other sensitive information
• Strong understanding of data subsetting, synthetic data generation, test data provisioning, and refresh management
• Experience preserving referential integrity and business relationships across multiple databases and applications
• Knowledge of enterprise data architecture, relational databases, data modeling, and data lifecycle management
• Experience with cloud-based data platforms and cloud test data management practices
• Understanding of data security, access controls, encryption, privacy, and compliance requirements
• Experience with storage optimization, capacity planning, and platform integrity in non-production environments
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Ability to work independently in a distributed team environment
• Cloud testing and cloud-native data management solutions
• Automated test data provisioning and refresh orchestration
• Advanced data masking and tokenization techniques
• Synthetic data generation tools and frameworks
• Database cloning, snapshotting, and storage optimization
• Data quality validation and automated reconciliation
• CI/CD integration for test data provisioning
• Performance testing and large-volume data management
• Experience with data governance, auditability, and compliance reporting
• Familiarity with healthcare data standards and formats, such as HL7 and FHIR

Company Overview