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Data Integrity Manager Jobs in Illinois (NOW HIRING)

DATA Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... data integrity. • Develop efficient data models for cloud database to facilitate scalable data ... management skills Company : Syntricate Technologies offers quality assurance, validation ...

Data Engineer

Elk Grove Village, IL · On-site

$113K - $135K/yr

... management of Crescent's data pipelines, enabling reliable analytics and downstream business ... integrity issues. * Technical Mentorship & Leadership: Provide indirect leadership, coaching, and ...

New

... integrity, and support multi-site operations. Core Responsibilities * Master Data Management & Technical Execution * Own end-to-end creation and maintenance of master data within Infor LN and ...

Database Management: o Oversee, develop and maintain manufacturing database systems, ensuring data accuracy and integrity. o Identify, analyze, and resolve data discrepancies and gaps related to ...

Showing results 41-60

Data Integrity Manager information

See Illinois salary details

$30K

$94.1K

$166.7K

How much do data integrity manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data integrity manager in Illinois is $94,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $121,600.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Data Integrity jobs in Illinois?

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

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

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

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

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

Infographic showing various Data Integrity Manager job openings in Illinois as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $94,136 per year, or $45.3 per hour.

$65.75 - $84.50/hr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a DATA Architect to lead the strategic planning and execution of migrating existing in-house data platforms to the cloud. The role involves designing data synchronization processes, developing data models for cloud databases, and implementing data pipelines, while collaborating with cross-functional teams to deliver technical solutions.
Responsibilities:
• Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.
• Lead the strategic planning and execution of migrating existing in-house data platforms to cloud, ensuring minimal disruption and data integrity.
• Develop efficient data models for cloud database to facilitate scalable data storage, processing, and analytics.
• Architect and implement data pipelines using Airflow and Python.
• Utilize Snowflake and Databricks for advanced reporting and analytics, providing actionable business insights.
• Work with cross-functional teams to understand data needs and deliver technical solutions, mentoring on best practices.
Qualifications:
Required:
• Demonstrated experience in migrating on-premises data to cloud and setting up stable, scalable frameworks
• Proficiency in Oracle, Snowflake, and Databricks
• Experience with Kafka and CDC tools for real-time data synchronization
• Expertise in Airflow for data pipeline orchestration
• Advanced proficiency in Python for data processing and automation
• Strong understanding of data modeling techniques and experience in designing scalable data models for cloud data warehouses
• Familiarity with BI tools and technologies for creating reports and dashboards
• Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration
• Experience in leading large-scale data migration and platform integration projects
• Excellent verbal and written communication skills for effective collaboration across teams
• Strong analytical, problem-solving, and team management skills
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.