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Data Quality Architect Jobs (NOW HIRING)

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 ...

Coverys

Data Architect

Boston, MA · On-site

$96K - $130K/yr

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

New

Prodware Solutions

Data Architect

Bellaire, TX · On-site

$57.25 - $73.75/hr

The Data Architect''''s role is to ensure high level of data quality across the enterprise through the creation and management of sound data management processes. This individual is responsible for ...

Trilon

$114K - $137K/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 ...

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 ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site +1

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 ...

Software Technology Inc

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

Data modeling, physical source data models, data profiling reports, data quality control, data ... Comprehension of DevOps and Agile development and application to data centric architecture and data ...

The Select Group

Data Quality Analyst

Tukwila, WA · On-site

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 ...

Kasmo Global

Data Architect

$65.25 - $84/hr

Data Architect Location: Remote but travel to CT Duration: 6 Months Client: Yash/Insurance domain ... Ensure data quality, governance, and security across all systems. Work closely with business ...

Samprasoft

Data Architect

Clark, NJ · On-site

$66 - $84.75/hr

Data modeling, physical source data models, data profiling reports, data quality control, data ... Comprehension of DevOps and Agile development and application to data centric architecture and data ...

Yochana

Data Architect

San Jose, CA · On-site

$74.75 - $96/hr

Data Architect Key skills: Data warehouse modeling experience in enterprise data domains such as HR ... data security, data quality. Responsibilities: Work with Product Owner/Business Analysts to ...

HCLTech

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

Data Architect Seeking a Data Architect to lead the design and implementation of a scalable ... Establish data governance, data quality, and MDM frameworks * Support manufacturing use cases ...

Cynet Systems

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

Establish architectural principles for data quality, security, governance, metadata management, and master data management. * Lead the architecture and design of enterprise reporting and analytics ...

DCCA

SME - Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

They are seeking a Senior Data Architect to develop enterprise data architectures and ensure data quality, security, and compliance using emerging technologies. Responsibilities : • Experience in ...

DCCA

SME - Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

They are seeking a Senior Data Architect to develop enterprise data architectures and ensure data quality and compliance using emerging technologies. Responsibilities : • Experience in developing ...

Marriott

Manager, Data Quality

Bethesda, MD · On-site +1

Partner with tooling and architecture teams to align capabilities with enterprise data platforms * Define Data Quality requirements for tool consistency * Provide guidance to domain teams, programs ...

Staffingine LLC

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Experience in data governance data quality and data stewardship within an MDM framework to ensure ... Architecture Design Develop comprehensive MDM architecture including data models data flow diagrams ...

Apollo ITS

Business Data Management Architect

Richmond, VA · On-site

$63 - $81.25/hr

The Business Data Management Architect will be responsible for leveraging expertise in data modeling and extensive data quality management to design and implement effective data management processes.

Diverse Lynx

Data Architect

Newark, NJ · On-site

$66.50 - $85.75/hr

Architecture Standards & Governance * Define and maintain standards for conceptual, logical, and ... Establish enterprise metadata, lineage, and data quality standards across Purview, Ataccama, Fabric ...

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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.
More about Data Quality Architect jobs
What job categories do people searching Data Quality Architect jobs look for? The top searched job categories for Data Quality Architect jobs are:
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 Architect

Data Architect

Highlights for Children

Columbus, OH • On-site

$61.50 - $79.25/hr

Other

Posted 9 days ago

Job description

Data Architect

Department: Data Solutions & Architecture

Reports To: Director, Data Solutions & Architecture

Position Summary

The Data Architect is responsible for designing, documenting, governing, and implementing data architecture for Highlights’ Microsoft Fabric and Azure data platforms. This role combines data architecture, data modeling, and data engineering responsibilities. Working closely with the Highlights Intelligence Team (HIT) and data engineers, the architect establishes Bronze/Silver/Gold layer standards, translates business requirements into well-designed data structures, and contributes production-grade implementations of those structures.

Essential Duties and ResponsibilitiesData Modeling and Design
  • Design conceptual, logical, and physical data models for the Microsoft Fabric lakehouse environment
  • Work with HIT to create dimensional models (star schemas) for the Gold layer supporting business intelligence
  • Define Bronze layer landing patterns ensuring source data is captured accurately and immutably
  • Design Silver layer transformations including entity resolution, slowly changing dimensions (SCD Type 2), and data quality flags
  • Establish surrogate key strategies, partition strategies, and historical data patterns
  • Document data models using standard notation and maintain artifacts in version control
  • Create data architecture for data products such as Customer Merge/Match, contract preferences, and other future solutions
  • Work with HIT and other teams to establish lab environments where teams can experiment with speed and agility, while ensuring security and cost considerations are met
Data Engineering and Implementation
  • Implement reference patterns and frameworks in Python, PySpark, SQL, and Delta Lake
  • Contribute production-grade code to Bronze ingestion, Silver transformation, and Gold materialization workflows
  • Build and maintain CI/CD gates for data quality, schema drift, naming standards, and pattern conformance
  • Conduct code reviews of pull requests touching the medallion architecture and shared frameworks
  • Partner with data engineers on complex modeling and transformation work
Data Architecture
  • Own and maintain the Fabric Architecture Playbook (SPOT Playbook)
  • Define and enforce naming conventions for lakehouses, tables, columns, and pipelines
  • Create reusable patterns and templates for common data scenarios
  • Establish data quality validation patterns at each medallion layer
  • Document architecture decisions using Architecture Decision Records (ADRs)
  • Conduct design reviews for data engineering work, ensuring alignment with standards
  • Establish and review metrics on cost, performance, usage, and value of data insights to the organization. Work with the Tech Lead and other team members to maintain appropriate ranges for these measures
Business Partnership
  • Work directly with the Highlights Intelligence Team to understand reporting and analysis requirements
  • Translate business questions into data model designs
  • Partner with business domain SMEs to capture entity definitions and business rules
  • Collaborate with the Data Platform Tech Lead on implementation feasibility
  • Participate in requirements sessions and design workshops
  • Evangelize the value and importance of data to leaders throughout Highlights
  • Ensure consumption of data and insights is performed in a sustainable and best-practices manner
Data Governance — Work with data owners to:
  • Inform the data dictionary and business glossary entries for modeled entities
  • Document data lineage from source systems through Gold layer
  • Define data classification for tables and columns (PII, confidential, etc.)
  • Support data quality metric definition and monitoring
  • Participate in Architecture Review Board discussions
What You Should Know on Day One
  • Medallion Architecture: Bronze immutability principles, Silver transformation scope (entity resolution, SCD2, quality flags), and Gold business logic patterns
  • Dimensional Modeling: Confident designing star schemas, fact/dimension relationships, and handling slowly changing dimensions
  • Microsoft Fabric / Lakehouse: Working knowledge of OneLake, lakehouses, Delta tables, and how they differ from traditional data warehouses
  • SQL Proficiency: Ability to write and review advanced SQL for data transformations, including window functions, MERGE, CTEs, and query optimization
  • Python and PySpark: Production-grade experience, including Delta Lake operations such as MERGE, time travel, and schema evolution
  • Git Workflow: Branching, pull requests, code review, and conflict resolution
  • CI/CD: Pipeline development, schema validation, and automated testing of data transformations
  • Data Modeling Tools: Experience with ERwin, ER/Studio, or similar; comfortable diagramming data flows
Within Your First Month
  • Complete onboarding to the current Fabric environment and existing data models
  • Review and provide feedback on the Fabric Architecture Playbook
  • Build relationships with Highlights Intelligence Team members and understand their data pain points
  • Assess current Bronze/Silver/Gold implementations for consistency with standards
Within Your First Year
  • Establish complete logical data models for core business domains (Retail, D2C, Finance)
  • Document all major data flows from source systems through to Gold layer
  • Create a pattern library covering common scenarios (SCD, late-arriving facts, multi-source entities)
  • Achieve consistent adoption of naming conventions and modeling standards across new development
  • Reduce data-related rework by establishing clear design review checkpoints
  • Support successful integration of future Order Management System data
Supervisory Responsibilities

None. This is an individual contributor role. Provides architectural guidance to data engineers through code, patterns, design reviews, and collaboration, without a direct reporting relationship.

Education and ExperienceRequired
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience
  • 5-7 years of experience in data architecture, data modeling, or senior data engineering roles
  • Demonstrated experience creating logical and physical data models
  • Strong knowledge of dimensional modeling, star/snowflake schemas
  • Experience with cloud data platforms (Azure, AWS, or Databricks)
  • Expert-level SQL and understanding of data transformation patterns
  • Production-grade Python and/or PySpark, including Delta Lake operations
  • Experience with Git-based workflows, code review, and CI/CD pipelines
  • Experience documenting data architectures and creating design artifacts
  • Solid communication skills with ability to explain technical concepts to business stakeholders
Preferred
  • Experience with Microsoft Fabric, Azure Synapse, or Databricks
  • Knowledge of Delta Lake format and lakehouse architecture
  • CDMP certification or data modeling certification
  • Experience in retail, consumer products, publishing, or subscription business environments
  • Familiarity with ERP systems (NetSuite preferred)
  • Experience with data catalog or metadata management tools
  • Understanding of data governance principles
Key Competency AreasData Modeling
  • Conceptual, logical, and physical modeling
  • Dimensional modeling and star schema design
  • Slowly changing dimensions and historical patterns
  • Data normalization and denormalization decisions
Technical Skills
  • Microsoft Fabric / Azure data services
  • Delta Lake and lakehouse concepts
  • SQL (advanced)
  • Python and PySpark
  • Git workflows and CI/CD pipelines
  • Data modeling tools (ERwin, ER/Studio, or similar)
Architecture Practices
  • Architecture documentation
  • Design patterns and templates
  • Code and design review practices
  • Architecture Decision Records
Physical Requirements

Prolonged periods sitting or standing at a desk and working on a computer.

Work Location

On-site/in-office 3 days/month per corporate schedule.

Highlights for Children provides reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Highlights for Children is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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