1

Data Quality Architect Jobs (NOW HIRING)

Architect quality solutions that support multi-system, cross-domain E2E scenarios across CHG ... Define data quality standards for test datasets - referential integrity, coverage requirements, and ...

Architect quality solutions that support multi-system, cross-domain E2E scenarios across CHG ... Define data quality standards for test datasets - referential integrity, coverage requirements, and ...

Enterprise Data Architect Primary Purpose Responsible for designing and architecting data/MDM ... quality standards. Identify and manage dependencies and downstream impacts of the project to ...

Senior Quality Architect

Centennial, CO · On-site

$123K - $157K/yr

Not a traditional quality architect role At most companies, a quality engineer inherits a system ... data says something nobody wants to hear CMM programming experience is a plus. It's not a ...

Data Architect

Fairfield, IA · On-site

$55.50 - $71.50/hr

They are seeking a Data Architect to leverage their expertise in Business Intelligence and Data Quality principles for various projects. Responsibilities : • At least 10 years of experience as Data ...

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Lead the architecture, design, and deployment of enterprise data solutions spanning multiple ... Data Governance & Quality Management * Develop and implement enterprise data governance and data ...

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data ...

Data Architect

Austin, TX · On-site

$62.50 - $80.50/hr

... quality standards and processes, and proficiency with data analytical and quality tools 10 ... architecture frameworks and capabilities 8 Experience with Informatica data management and ...

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data ...

Data Technical Architect

New York, NY · On-site

$69.75 - $89.75/hr

Mentor and Coach for Data Quality Engineering Solutioning: * Technical Guidance: Serve as the principal technical mentor and coach for the Data Quality Engineering team, guiding them on architectural ...

Data Technical Architect

New York, NY · On-site

$69.75 - $89.75/hr

Mentor and Coach for Data Quality Engineering Solutioning: * Technical Guidance: Serve as the principal technical mentor and coach for the Data Quality Engineering team, guiding them on architectural ...

Data Architect

Minneapolis, MN · On-site

$90 - $130/hr

Validate data quality, integrity, consistency, and accuracy by analyzing data relationships ... Collaborate with architecture, development, testing, and operational teams to support data analysis ...

next page

Showing results 1-20

Data Quality Architect information

See salary details

$10

$69

$94

How much do data quality architect jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data quality architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What are some common challenges faced by data quality architects when implementing enterprise-wide data quality frameworks?

Data Quality Architects often encounter challenges such as aligning data quality standards across diverse departments, managing legacy systems with inconsistent data, and ensuring stakeholder buy-in for new data governance processes. Navigating these complexities requires strong communication skills and the ability to design scalable frameworks that accommodate varying data sources. Additionally, balancing short-term business needs with long-term data quality objectives is a frequent challenge, making collaboration with data stewards, IT teams, and business leaders crucial for success.

What are the key skills and qualifications needed to thrive as a data quality architect?

To thrive as a Data Quality Architect, you need expertise in data modeling, data governance, and quality assurance, often backed by a degree in computer science or a related field. Familiarity with data quality tools (like Informatica, Talend), database management systems, and relevant certifications such as CDMP or DAMA are typically required. Strong analytical thinking, problem-solving skills, and effective communication help drive collaboration across data, business, and IT teams. These skills ensure accurate, reliable data is maintained to support business intelligence, compliance, and strategic decision-making.

What is the difference between Data Quality Architect vs Data Governance Analyst?

AspectData Quality ArchitectData Governance Analyst
CredentialsTypically requires certifications like CDMP, DAMA-DMBOK, or data management certificationsOften holds certifications in data governance, data management, or related fields
Work EnvironmentDesigns data quality frameworks, collaborates with IT and data teams, focuses on data accuracy and integrityDevelops data policies, monitors compliance, and ensures data standards across organizations
Industry UsageCommonly employed in industries with large data needs like finance, healthcare, and techUsed across various sectors to ensure data compliance and governance practices

The Data Quality Architect focuses on designing and implementing data quality solutions to ensure data accuracy and integrity. In contrast, the Data Governance Analyst concentrates on establishing data policies, monitoring compliance, and managing data standards. Both roles are essential for effective data management but serve different functions within an organization.

What is a data quality architect?

A Data Quality Architect is a professional responsible for designing, implementing, and managing systems and processes that ensure the accuracy, consistency, and reliability of data across an organization. They develop data quality frameworks, set standards, and work closely with data engineers, analysts, and business stakeholders to identify and resolve data quality issues. Their goal is to ensure that data used for decision-making is trustworthy and meets organizational requirements. Data Quality Architects also help define data governance policies and lead initiatives for continuous data quality improvement.
More about Data Quality Architect jobs
Infographic showing various Data Quality Architect job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $145,556 per year, or $70 per hour.

Quality Architect

CHG Healthcare

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 10 days ago


Job description

Healthcare's helping hand.
CHG shook things up in 1979 by inventing the locum tenens staffing model. We connect doctors with patients who need their care. As the largest physician staffing firm in America, our providers treat millions of patients each year.
Our industry is growing and demand is high. This means you'll have plenty of opportunities to grow and develop in your career. Keeping healthcare healthy can be as fun as it is rewarding
CHG Healthcare is building an AI-Forward Enterprise End-To-End Testing function that validates critical business workflows across an integrated enterprise landscape. The Quality Architect is responsible for designing the architecture, standards and tooling that enable AI-assisted test execution and infrastructure needed for the validation of complete business processes and integrations that span multiple internal and external systems, applications, and teams - from initiation to final outcomes.
Responsibilities
  • Architect quality solutions that support multi-system, cross-domain E2E scenarios across CHG's enterprise integrations, and downstream platforms.
  • Define and maintain an enterprise testing roadmap.
  • Evaluate and recommend quality tooling and platforms, with a bias toward solutions that integrate with AI-assisted test generation and autonomous execution pipelines.
  • Define data quality standards for test datasets - referential integrity, coverage requirements, and edge-case representation - so that AI-generated test scenarios have the data fidelity to produce trustworthy results.
  • Actively shape how AI capabilities are applied to quality solutions: LLM-assisted scenario generation from structured workflow inputs, agentic test runners, and AI-synthesized execution reporting.
  • Stay current on tooling relevant to quality engineering, autonomous test execution, intelligent defect categorization, observability integrations, and bring concrete recommendations to the team.
  • Work with cross functional teams to design test data pipelines that support autonomous regression execution, enabling the team to scale coverage.
  • Design AI-augmented quality intelligence: ensuring the quality architecture supports defect pattern analysis, risk flagging, and release readiness recommendations that can be acted on.
  • Engage the enterprise architecture team, bring quality architecture into system design conversations early, and advocate for testability as a first-class design concern.
  • Build and maintain data visibility across CHG's cross-system business workflows enabling test validation to trace a record from the source system through every downstream handoff and confirm data integrity at each point.
  • Maintain the impact assessment process when the source system schemas change and ensure test data catalogs and integration scenarios remain valid.
  • Partner with the platform engineering team on environment architecture, CI/CD pipeline integration, and infrastructure provisioning for testing at scale.
  • Develop and publish quality standards, reusable patterns, and self-service provisioning capabilities that teams across CHG can adopt consistently.
  • Build and maintain centralized test data catalogs that reduce manual data setup and accelerate coverage for new integration scenarios.
  • Represent the E2E testing practice in cross-functional forums: architecture reviews, platform planning sessions, security councils, and release readiness discussions.
  • Define and enforce load testing standards across the organization.

Qualifications
  • 7+ years in software engineering, data engineering, or quality engineering - with at least 3 years focused on quality management or data architecture in enterprise environments.
  • Demonstrated experience designing testing solutions across complex, multi-system integrations.
  • Hands-on experience with relational databases, APIs, and data provisioning in CI/CD contexts.
  • Demonstrated experience designing synthetic test data pipelines for environments where production data cannot be used directly.
  • Security engineering awareness - understands access controls, audit requirements, and data identification in non-production systems.
  • Experience engaging architecture, platform engineering, or security teams as a technical peer and collaborator.
  • Familiarity with AI and automation tooling in a quality engineering or data engineering context.
  • Ability to influence technical direction across teams without direct authority - through standards, architecture, and credibility.
  • Ability to communicate quality technical architecture decisions to diverse audiences through documentation, and standards that teams can act on.

Preferred
  • Familiarity with Salesforce, Workday, or enterprise SaaS platforms as testing targets.
  • Experience with LLM-assisted test generation, agentic test execution, or AI-augmented quality intelligence tooling.
  • Background in microservices, event-driven architecture, or API-layer integration testing.
  • Experience working in an agile, squad-based engineering model.

We believe in fair compensation for all of our people, which is why our pay structure takes into account the cost of labor across U.S. geographic markets. For this position, we offer a pay range of $146,200 -- $282,600 annually, with pay varying depending on work location and job-related factors such as knowledge, position level and experience. During the hiring process, your recruiter can provide more information about the specific salary range for the job location.
CHG Healthcare offers starting salaries for sales positions in the form of total target compensation (TTC = base + commission + bonus), which includes base pay, commission, and bonuses. Sales positions receive short-term incentives through commission plans and bonuses. On the other hand, non-sales positions have starting salaries that consist of a base salary and short-term incentives through various bonus plans, which are paid out monthly, quarterly, or annually.
#LI-MJ1
In return we offer:
• 401(k) retirement plan with company match
• Traditional healthcare benefits such as medical and dental coverage, and some unique benefits like onsite health centers, corporate wellness programs, and free behavioral health appointments.
• Flexible work schedules - including work-from-home options available
• Recognition programs with rewards including trips, cash, and paid time off
• Family-friendly benefits including paid parental leave, fertility coverage, adoption assistance, and marriage counseling
• Tailored training resources including free LinkedIn learning courses
• Volunteer time off and employee-driven matching grants
• Tuition reimbursement programs
Click here to learn more about our company and culture.
CHG Healthcare values a diverse and inclusive workforce. Interested in this role but not a perfect fit? Apply anyway.
We welcome applicants of any race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status and individuals with disabilities as an Affirmative Action/Equal Opportunity Employer. We are an at-will employer.
What makes CHG Different?