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Data Quality Architect Jobs (NOW HIRING)

Cognizant

PKware Architect (Remote)

$65.25 - $84/hr

Cognizant is seeking an experienced data quality architect to design enterprise-grade solutions that utilize PKware and modern data quality practices. The role involves collaborating with cross ...

Koantek

Enterprise Data Architect

Milwaukee, WI · On-site

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 ...

Koantek

Enterprise Data Architect

Milwaukee, WI · On-site

... quality standards. * Identify and manage dependencies and downstream impacts of the project to ... Architect and design master data to drive towards "Single source of the truth". * Regularly monitor ...

Avani Technology Solutions, Inc.

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 ...

Xforia, Inc.

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 ...

Donato Technologies, Inc

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 ...

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LTM

Data Architect

Cincinnati, OH · On-site

$61.25 - $78.75/hr

Role description Data Architect Location cincinnati ohio Onsite Job Summary Seeking an experienced Associate Principal specializing in Data Architecture to lead data strategy and design scalable data ...

EROS Technologies, Inc.

Data Architect

Fairfield, IA · On-site

$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 ...

Trilon Group

Data Quality Engineer

$117K - $140K/yr

Work with the Lead Data Engineer to align on pipeline architecture and quality standards * Partner with pod Data Engineers to embed quality checks into all pipelines * Collaborate with Lead Engineers ...

Trilon Group

Data Quality Engineer

$117K - $140K/yr

Work with the Lead Data Engineer to align on pipeline architecture and quality standards * Partner with pod Data Engineers to embed quality checks into all pipelines * Collaborate with Lead Engineers ...

Omni Inclusive

Data Architect

San Antonio, TX · On-site

$58 - $74.50/hr

Must have played Data Architect role for more than 10 years with good knowledge on Data Governance ... Reviewing and analyzing data governance policies and procedures Conducting data quality assessments ...

Coverys

Data Architect

Omaha, NE · On-site

$96K - $130K/yr

Data Architect The Data Architect will help design, build, and evolve our next-generation ... Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ...

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Chase

Data Architect III

Palo Alto, CA · On-site

$75.25 - $96.75/hr

Data Architect III You are ready to revolutionize your career and the world of technology with an ... Creates secure and high-quality production code using PySpark, Spark SQL, and Scala within AWS Glue ...

Coverys

Data Architect

East Lansing, MI · On-site

$96K - $130K/yr

Data Architect The Data Architect will help design, build, and evolve our next-generation ... Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ...

New

JPMorgan Chase & Co.

Data Architect III

Palo Alto, CA · On-site

$133K - $185K/yr

As an Data Architect III at JPMorganChase within the CONSUMER & COMMUNITY BANKING you serve as a ... Creates secure and high-quality production code using PySpark, Spark SQL, and Scala within AWS Glue ...

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All JobsData Quality Architect Jobs

Data Quality Architect information

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$10

$69

$94

How much do data quality architect jobs pay per hour?

As of Jul 2, 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.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage and utilize large volumes of data effectively. They often require expertise in data modeling, database design, and tools like cloud platforms and data management software, making their skills highly sought after across various industries.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data modeling, cloud platforms, or data governance can command higher compensation.

Is data architect a good career?

A data architect is a key role responsible for designing and managing an organization’s data infrastructure, ensuring data quality and accessibility. It typically requires strong skills in database design, data modeling, and familiarity with tools like SQL and cloud platforms. The role offers high demand, competitive salaries, and opportunities for advancement in data-driven industries.

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, and why are they important?

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.

How much money do data architects make?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles with advanced skills in data modeling, cloud platforms, and data governance can command higher salaries, often exceeding $160,000 annually.

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.
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Data Quality Architect jobs near you
Infographic showing various Data Quality Architect job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 16% As Needed, 46% Full Time, 7% Temporary, 27% Contract, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.
Data Governance/Data Quality Architect

Data Governance/Data Quality Architect

United IT Solutions

Cincinnati, OH • On-site

$61.25 - $78.75/hr

Other

Posted 15 days ago

Job description

ob Title: Data Governance/Data Quality Architect
Location: Cincinnati OH
Role Summary
The Data Quality Architect will lead the planning and execution of data quality management for critical datasets, including regulatory reporting. This role will design and implement data quality practices across multiple channels to ensure accuracy, consistency, and compliance. The architect will collaborate with data producers, consumers, and governance teams, and may be deployed directly to agile squads for focused delivery.
Primary Responsibilities
  • Leadership in Data Quality Management:
    • Own the strategy, planning, and execution of data quality initiatives for critical datasets.
    • Drive adoption of enterprise standards and ensure alignment with governance objectives.
  • Architect and Advise:
    • Define and implement data quality frameworks, standards, and controls aligned with:
      • Critical Data Standard - Apply control objectives for critical data assets.
      • Data Product Standard - Embed quality requirements into data products.
      • Data Quality Management Guidance - Implement Ataccama-based rules, anomaly detection, and operational checks.
  • Data Quality Management:
    • Apply data quality rules and anomaly detection using platforms such as Ataccama.
    • Design operational checks and reconciliation processes for in-line data validation.
  • Critical Data Oversight:
    • Focus on high-risk and regulatory reporting datasets, ensuring compliance with internal and external standards.
  • Collaboration:
    • Work closely with data consumers and product teams to embed quality controls into data pipelines and products.
    • Provide guidance to squads on data profiling, grading, and remediation strategies.
  • Continuous Improvement:
    • Monitor and report on data quality metrics, root cause analysis, and remediation plans.
    • Champion automation and scaling of data quality capabilities across the enterprise.
Required Skills & Experience
  • Strong knowledge of data quality management principles and tools (Ataccama preferred).
  • Experience with data architecture, governance frameworks (e.g., DCAM), and regulatory compliance.
  • Ability to design and implement data profiling, anomaly detection, and reconciliation processes.
  • Excellent communication skills for stakeholder engagement across technical and business teams.
  • Familiarity with agile delivery and ability to work within squads.
Preferred Qualifications
  • Banking or financial services experience with regulatory reporting data sets.
  • Hands-on experience with data cataloging, lineage, and critical data element management.

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