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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 ...

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 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

Fairfield, IA

$55.50 - $71.50/hr

Data Architect Location: Fairfield, IA Duration: 6-12 Months Contract - DOMAIN: Banking & Capital ... Trillium, SSIS Data Quality) Experience in Design and build of LAI Data Quality (DQ) Business Rules ...

You will architect automated testing frameworks, lead data validation strategy, and partner with Engineering and Product leadership to maintain high-trust, high-quality datasets for health plan ...

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Data Quality Architect information

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How much do data quality architect jobs pay per hour?

As of Sep 5, 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 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.

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 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 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.

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 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data Quality Architect

Software Technology Inc

Greensboro, NC • On-site

$55.25 - $71/hr

Other

Posted 4 days ago


Job description

Job Title: Data Quality Architect

Location: Greensboro, NC (Hybrid)

Duration: Long Term

Key Responsibilities:

  • Own delivery of the migration end to end, from framework design through to Collibra DQ decommission.
  • Make and defend the native-monitoring versus generated-SQL routing decision with client, and revise it as pilot evidence lands.
  • Own the pilot gate go/no-go — scale does not begin until every exit criterion is demonstrably met, including measured effort per dataset.
  • Chair the weekly working gate with client’s DQ lead, and report progress, risk and defect trend to programme sponsors.
  • Direct alias-to-table mapping, retirement validation of candidate jobs, and scope adjudication with the client DQ team.
  • Own the parity sign-off process so that no dataset is cut over without written steward approval.

Required qualifications:

  • 10+ years in data quality, data engineering or data platform architecture, including experience leading a migration to a client-facing gate.
  • Hands-on Databricks — Unity Catalog, Delta Lake and Workflows — sufficient to review generated code and challenge design decisions credibly.
  • Working knowledge of Collibra DQ or an equivalent enterprise DQ platform such as Informatica DQ, Ataccama, Soda or Monte Carlo.
  • Proven ownership of a decommission programme where the legacy system could not be switched off without documented evidence.
  • Able to hold a client conversation in which the honest answer is “not yet”, and keep both the schedule and the relationship intact.

Preferred:

  • Retail, apparel or CPG data domain exposure.
  • Experience defining test strategy for a data migration, even where not personally executing it.

Best Regards,
Mohan Sai | Senior Technical Recruiter - HealthTech & Commercial IT 
Software Technology Inc. (STI)