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Data Integrity Manager Jobs in Arizona (NOW HIRING)

Senior Data Engineer - Central

Phoenix, AZ · On-site

$105K - $143K/yr

... integrity and reliability. • Leads development of data governance practices, including data definitions, metadata management, and data lineage documentation. • Ensures compliance with healthcare ...

Ensures integrity and maintenance of organizational data; Resolves data integration and security issues for adherence to the organization's quality standards. PNC Employees take pride in our ...

... to load and manage the data, including a Data Quality Assessment to ensure the quality of the ... integrity among various internal groups and/or between internal and external sources Inventory ...

... integrity * Develop mechanisms and architectures that support business line specific use cases ... Review and manage interfaces supporting graph data access including APIs, visualization tools, and ...

Help Desk Analyst

Phoenix, AZ · On-site

$20.25 - $27.75/hr

Knowledge of ERP systems, HR/Talent Management applications, and data integrity standards preferred Key Responsibilities: * Provide Tier 1 technical support for AZ360 and PageUp * Diagnose and ...

... integrity * Develop mechanisms and architectures that support business line specific use cases ... Review and manage interfaces supporting graph data access including APIs, visualization tools, and ...

Showing results 41-60

Data Integrity Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data integrity manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data integrity manager in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data integrity managers, and how can they be addressed?

Data Integrity Managers often encounter challenges such as ensuring data accuracy across multiple systems, managing data governance policies, and addressing data quality issues that arise from manual entry or system migrations. These challenges can be addressed by implementing robust data validation processes, fostering a culture of accountability among team members, and working closely with IT and business stakeholders to establish clear data standards. Regular audits and ongoing training can also help maintain high data integrity standards and minimize errors.

What is the difference between Data Integrity Manager vs Data Quality Analyst?

AspectData Integrity ManagerData Quality Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMABachelor's in Data Science, IT, or related; certifications like CDMP or Six Sigma
Work EnvironmentOversees data management teams, implements data policies, ensures data accuracy and securityAnalyzes data sets, identifies quality issues, recommends improvements
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcare, and techCommon in analytics, business intelligence, and data-driven sectors

The Data Integrity Manager focuses on maintaining the overall accuracy, security, and consistency of data across systems, often managing teams and policies. In contrast, the Data Quality Analyst primarily analyzes data sets to identify and resolve quality issues. Both roles require similar certifications and are vital in data-centric industries, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a data integrity manager?

To thrive as a Data Integrity Manager, you need expertise in data management, quality assurance, and compliance, often supported by a degree in information systems or related fields. Familiarity with database management systems (DBMS), data governance tools, and certifications like CDMP or DAMA are typically required. Strong attention to detail, analytical thinking, and effective communication help you proactively address data issues and collaborate across departments. These skills ensure accurate, reliable data that supports business decisions and regulatory compliance.

What is a data integrity manager?

Data Integrity Managers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They oversee data governance policies, implement quality control measures, and work closely with IT and business teams to maintain compliance with regulations and standards. Their role is crucial in industries where data accuracy impacts decision-making, regulatory compliance, and operational efficiency.

What are the most commonly searched types of Data Integrity jobs in Arizona?

The most popular types of Data Integrity jobs in Arizona are:

What are popular job titles related to Data Integrity Manager jobs in Arizona?

For Data Integrity Manager jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Integrity Manager jobs in Arizona look for?

The top searched job categories for Data Integrity Manager jobs in Arizona are:

Senior Data Engineer - Central

Terros Health

Phoenix, AZ • On-site

$105K - $143K/yr

Full-time

Re-posted 19 days ago


Terros Health rating

5.6

Company rating: 5.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

157th of 240 rated social care providers


Job description

Job Summary:
Terros Health is a healthcare organization dedicated to providing extraordinary care through an integrated care delivery system. The Senior Data Engineer will design, build, and maintain scalable data architecture and data integration solutions to support clinical and operational initiatives, ensuring high data quality and accessibility.
Responsibilities:
• Leads the design of and develops and maintains scalable data pipelines and ETL/ELT processes to integrate data from internal and external systems.
• Builds and optimizes Enterprise Data Warehouse structures to support analytics, reporting, and operational workflows.
• Implements and maintains data models (dimensional and relational) to ensure efficient and accurate reporting.
• Evaluates and recommends improvements to data architecture, storage, and processing performance.
• Establishes and enforces data quality standards, validation processes, and monitoring to ensure data integrity and reliability.
• Leads development of data governance practices, including data definitions, metadata management, and data lineage documentation.
• Ensures compliance with healthcare data standards and regulations related to security and privacy.
• Develops and maintains integrations using healthcare data standards and formats including HL7, FHIR, APIs, SFTP, and flat files.
• Collaborates with clinical and operational teams to ensure accurate and timely data exchange across systems.
• Partners with analysts, clinical leaders, and business stakeholders to translate business requirements into technical solutions.
• Provides technical guidance and mentorship to junior team members and peers.
• Participates in cross-functional initiatives to support organizational goals and strategic priorities.
• Monitors and optimizes performance of data pipelines, queries, and warehouse environments.
• Identifies and resolves data issues, bottlenecks, and system inefficiencies.
• Stays current with emerging data engineering tools, technologies, and best practices and recommends and drives adoption where appropriate.
• Maintains comprehensive documentation including data dictionaries, pipeline documentation, and technical design artifacts.
• Communicates technical concepts, risks, and solutions clearly to both technical and non-technical stakeholders.
Qualifications:
Required:
• Leads the design of and develops and maintains scalable data pipelines and ETL/ELT processes to integrate data from internal and external systems.
• Builds and optimizes Enterprise Data Warehouse structures to support analytics, reporting, and operational workflows.
• Implements and maintains data models (dimensional and relational) to ensure efficient and accurate reporting.
• Evaluates and recommends improvements to data architecture, storage, and processing performance.
• Establishes and enforces data quality standards, validation processes, and monitoring to ensure data integrity and reliability.
• Leads development of data governance practices, including data definitions, metadata management, and data lineage documentation.
• Ensures compliance with healthcare data standards and regulations related to security and privacy.
• Develops and maintains integrations using healthcare data standards and formats including HL7, FHIR, APIs, SFTP, and flat files.
• Collaborates with clinical and operational teams to ensure accurate and timely data exchange across systems.
• Partners with analysts, clinical leaders, and business stakeholders to translate business requirements into technical solutions.
• Provides technical guidance and mentorship to junior team members and peers.
• Participates in cross-functional initiatives to support organizational goals and strategic priorities.
• Monitors and optimizes performance of data pipelines, queries, and warehouse environments.
• Identifies and resolves data issues, bottlenecks, and system inefficiencies.
• Stays current with emerging data engineering tools, technologies, and best practices and recommends and drives adoption where appropriate.
• Maintains comprehensive documentation including data dictionaries, pipeline documentation, and technical design artifacts.
• Communicates technical concepts, risks, and solutions clearly to both technical and non-technical stakeholders.
Company:
Terros Health is a health care company, providing primary care and specializing in mental health and substance use treatment. Founded in 1969, the company is headquartered in Phoenix, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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