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Data Quality Architect Jobs (NOW HIRING)

Koantek

Enterprise Data Architect

Milwaukee, WI

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 ...

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 ...

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 ...

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 ...

Curate Partners

Data Governance Architect

Cambridge, MA · On-site

$69.75 - $89.50/hr

This role will define the technical and information architecture required to govern data across R&D, clinical, regulatory, manufacturing, quality, commercial, and enterprise data domains. *Must be ...

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 ...

JPMorganChase

Data Architect III

Palo Alto, CA · On-site

$75 - $96.50/hr

Responsibilities : • Creates secure and high-quality production code using PySpark, Spark SQL ... data architecture and design artifacts for complex applications, including canonical data models.

Highlights for Children

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Establish data quality validation patterns at each medallion layer * Document architecture decisions using Architecture Decision Records (ADRs) * Conduct design reviews for data engineering work ...

JPMorgan Chase & Co

Data Architect III

Palo Alto, CA · On-site

$75.25 - $96.75/hr

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 ...

JP Morgan Chase

Data Architect III

Palo Alto, CA · On-site

$75.25 - $96.75/hr

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 ...

Peabody Energy

Data Architect

Saint Louis, MO · On-site

$62 - $79.75/hr

Establish and monitor data quality metrics, perform root cause analysis on data issues, and drive ... Architect and implement robust data solutions that align with business strategy and technology ...

Peabody Energy

Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Establish and monitor data quality metrics, perform root cause analysis on data issues, and drive ... Architect and implement robust data solutions that align with business strategy and technology ...

The Select Group

Data Quality Analyst

Tukwila, WA · Remote

Partner with IT and business stakeholders to architect scalable data strategies and resolve high-priority data quality issues. * Insights & Reporting: Synthesize complex datasets into actionable ...

Qentelli

Data Quality Engineer

Dallas, TX

$113K - $136K/yr

Participate in architecture discussions and recommend improvements for data reliability and scalability. * Create technical documentation, SOPs, and data quality metrics reports for leadership and ...

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How much do data quality architect jobs pay per hour?

As of Jun 8, 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, 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.

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 May 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Quality Architect

Rootshell Enterprise Technologies, Inc.

Deerfield, IL • On-site

Full-time

Posted 17 days ago

Job description

Description:
Be a champion of Quality in SAFe value streams and architectural community of practices. Be an evangelist for engineering quality into software
Develop overall architectural impact assessment and analysis for quality, on complex large scale pre-release, upgrades and current versions of software. Enable iterative approach to quality during each phase of systems development prior to implementation
Implement quality engineering activities that generally impact multiple components / processes, work of own and possibly other teams. Typically assigned highly complex, and high-risk undertakings that require expert knowledge of technology solution, coding languages and regularly require the application of independent judgement and creativity
Provide technical expertise of system architecture, drive and recommend optimal testing strategies for various products and applications certifying customer quality. Design QA infrastructure, establish testing specifications to provide desired functionality to technology solutions
Collaborate with DevOps, Development and Product owners to verify the testability of the release and define strategies and best practices for all quality streams
Contribute in Value Stream PI events to measure, manage and progress on quality engineering roadmap and delivery outcomes
Develop a roadmap and detailed implementation plan for automation, functional, integration/E2E & performance quality engineering services for assigned SAFe value streams
Ability to evaluate and select automation, functional and performance engineering tools for different products and applications. Provide working prototypes to confirm the feasibility of technical solutions. Develop best practices, procedures and enable continuous improvement
Establish a strong partnership with architecture, software engineering/development, quality engineers and DevOps to enabling CI/CD delivery model which is scalable and merit quality
Provide training to Software Development Engineers, QA and architect resources on testing strategies, standards, tools and processes. Work closely with quality assurance teams and functions to help, grow and improve the test processes and skill sets
Promote a risk-aware culture, ensure efficient and effective risk and compliance management practices by adhering to required standards and processes.
Responsibilities:
Detail oriented communication and documentation skills
Experience with browser or client side monitoring/analysis tools ( e.g. Gomez, Firebug, Web page test)
Exposure to applications developed on AWS, PCF or similar platforms
Ability to read and analyze application logs, GC logs, thread dumps, head dumps etc. Experience in JVM and SQL queries performance tuning
Qualifications:
Bachelor's Degree and at least 10 years of experience in software development and quality engineering. At least 2 years of experience as a software architect or technical product management
Experience working on multiple product delivery cycles simultaneously
Experience working in agile/iterative development methodology. SAFe experience is preferred
Ability to collaborate with application, technical and value stream architects and software development engineers to ensure design for quality practices and tooling are formulated and adhered
Ability to collaborate with sr. management for managing quality deliverables and outcomes
Experience with technology eco-system that supports end-to-end micro service architecture, such as, APIs, message queue, container, service registry/discovery etc.
Strong programming skills, primarily in Java. Experience in multiple programming language is preferred
Experience in using the automated tools for end-to-end product architecture and technology stack in a CI/CD setting
Detail oriented communication and documentation skills
Experience with browser or client side monitoring/analysis tools ( e.g. Gomez, Firebug, Web page test)
Exposure to applications developed on AWS, PCF or similar platforms
Ability to read and analyze application logs, GC logs, thread dumps, head dumps etc. Experience in JVM and SQL queries performance tuning
Ability to identify system bottlenecks and resource leaks with strong troubleshooting, problem solving & reasoning skills
Experienced with Service Virtualization using open source or commercial tools
Exposure to technologies Micro Services, Cloud Native development, Cloud powered data analytics.
Working knowledge of REST, RPC service patterns and web sockets and other client/server interaction models is a plus.

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