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Data Quality Architect Jobs (NOW HIRING)

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190 ... for our high-quality consulting services throughout the US and beyond. Our expertise lies in ...

Lead Data Architect

Boca Raton, FL ยท On-site +1

$190/hr

Lead Data Architect Location: Remote, US based Position type: Full Time Employee Compensation: $190 ... for our high-quality consulting services throughout the US and beyond. Our expertise lies in ...

Use a variety of languages and tools to integrate systems and enhance data reliability, efficiency, and quality. * Architect, build, and launch data models that support business objectives and ...

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 ...

Data Governance Architect

Irvine, CA ยท On-site

$121 - $171/hr

Define and maintain the data governance architecture, including data quality, metadata, lineage, access management, and stewardship capabilities. * Collaborate with project teams to ensure governance ...

Data Architect

Boston, MA ยท On-site

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ... Provide architectural oversight for major data initiatives across the enterprise. * Support ...

Data Architect

Omaha, NE

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ... Provide architectural oversight for major data initiatives across the enterprise. * Support ...

Data Architect

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ... Provide architectural oversight for major data initiatives across the enterprise. * Support ...

Data Architect

Boston, MA

$105K - $143K/yr

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ... Provide architectural oversight for major data initiatives across the enterprise. * Support ...

Define standards for data modeling, data quality, naming conventions, metadata, lineage, and ... Provide architectural oversight for major data initiatives across the enterprise. * Support ...

Cloud Data Architect

Pittsburgh, PA ยท Remote

$65.25 - $84/hr

Cloud Data Architect We are always looking to connect with top talent! We are seeking a skilled and ... quality, reliability, and performance. * Define semantic data models that enable self-service ...

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 ...

Data Engineer I

Whiteland, IN ยท On-site

$114K - $137K/yr

Use a variety of languages and tools to integrate systems and enhance data reliability, efficiency, and quality. * Architect, build, and launch data models that support business objectives and ...

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 ...

Showing results 21-40

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.

Lead Data Architect

Data Meaning

Boca Raton, FL โ€ข Remote

Full-time

Re-posted 10 days ago


Job description

Lead Data Architect

Location: Remote, US based
Position type: Full Time Employee
Compensation: $190.000 (base + bonus)


Job Summary
Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio.
 

Position Summary

The Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client’s data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment.

The position will work closely with the client’s engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform.


Key Responsibilities:

  • Lead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)
  • Design the future-state data platform architecture following modern ELT and dbt best practices
  • Define standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality
  • Lead the migration of transformation logic into dbt models
  • Define architectural patterns for: staging layers, intermediate layers, data marts
  • Implement automated testing frameworks within dbt
  • Lead discovery sessions and technical workshops with the client’s data engineering teams
  • Document architecture, pipelines, and operational processes
  • Conduct architecture walkthrough sessions during knowledge transfer phases
  • Define standards for CI/CD, monitoring frameworks, and data quality validation
  • Establish schema management and governance best practices
  • Optimize Snowflake compute usage and platform performance
  • Design scalable orchestration strategies for Airflow pipelines
  • Improve platform reliability, monitoring, and operational observability

Required Skills & Qualifications:
  • Advanced / fluent English
  • 10+ years of experience in Data Engineering or Data Architecture
  • Strong experience designing and implementing modern data platforms
  • Expert-level experience with Snowflake
  • Strong experience implementing dbt transformation frameworks
  • Advanced SQL modeling and performance optimization
  • Strong experience with Apache Airflow orchestration
  • Strong Python programming skills
  • Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines
  • Experience working in cloud environments (AWS preferred)

Nice to Have

  • Snowflake certification
  • Experience leading data platform migrations or modernization initiatives
  • Experience implementing Medallion architecture patterns
  • Experience defining data governance frameworks
  • Experience working with distributed or global engineering teams
 

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