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Data Management Jobs in Iowa (NOW HIRING)

GreatAmerica

Data Architect

Cedar Rapids, IA · On-site

$62.75 - $80.75/hr

... manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance. • Create and maintain clear documentation of architectural decisions, standards ...

SHAZAM

Data Architect

Johnston, IA · On-site

$120K - $170K/yr

Work with management to define and execute the organization's long-term data architecture strategy, standards, and roadmap. * Evaluate business and technical data requirements to deliver scalable ...

Shazam

Data Architect

Johnston, IA · On-site

$120 - $170/hr

Work with management to define and execute the organization's long-term data architecture strategy, standards, and roadmap. * Evaluate business and technical data requirements to deliver scalable ...

Workiva, Inc.

Lead Data Product Manager

Ames, IA · On-site

Exceptional stakeholder management skills across senior business and technical audiences * Background in SaaS or product-led growth companies * Experience with data catalog platforms (e.g., Atlan ...

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All JobsData Management JobsData Management Jobs in Iowa

Data Management information

See Iowa salary details

$29.1K

$91.2K

$161.6K

How much do data management jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data management in Iowa is $91,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $117,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database tools, data governance policies, and data quality standards to support business operations and decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

More about Data Management jobs

What are the most commonly searched types of Data Management jobs in Iowa?

The most popular types of Data Management jobs in Iowa are:

What are popular job titles related to Data Management jobs in Iowa?

For Data Management jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Management jobs in Iowa look for?

The top searched job categories for Data Management jobs in Iowa are:

What cities in Iowa are hiring for Data Management jobs?

Cities in Iowa with the most Data Management job openings:

Data Management jobs near you
Infographic showing various Data Management job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $91,245 per year, or $43.9 per hour.

Data Architect

GreatAmerica

Cedar Rapids, IA • On-site

$62.75 - $80.75/hr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. The Data Architect is responsible for the design and delivery of the organization’s data infrastructure, ensuring that the data ecosystem supports scalability, governance, and advanced analytics capabilities.
Responsibilities:
• Develop and maintain conceptual, logical, and physical data models.
• Design scalable, end-to-end enterprise data architectures that support current and future business needs.
• Build, prototype, and optimize real-time and batch data pipelines using modern data integration tools and cloud services.
• Design and implement ETL/ELT processes to ensure seamless and reliable data movement across systems.
• Integrate diverse data sources across the enterprise using standardized patterns and frameworks.
• Establish, document, socialize, and enforce development, modeling, and architectural design standards.
• Implement data quality metrics, monitoring capabilities, and issue resolution processes in partnership with Data Governance.
• Define, manage and enforce data governance, quality, security and compliance frameworks in partnership with Data Governance.
• Create and maintain clear documentation of architectural decisions, standards, and patterns.
• Implement data protection strategies, including access controls and data privacy measures.
• Ensure data architectures align with regulatory requirements and internal compliance standards.
• Evaluate and recommend emerging technologies to improve data management and platform capabilities.
• Architect and optimize cloud-native solutions leveraging Microsoft Azure services.
• Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions.
• Support scalability, performance tuning, and cost optimization of data platforms.
• Build strong relationships with business and technical stakeholders to understand evolving needs and translate them into architectural solutions.
• Collaborate with DevOps, Engineering, Analytics, Data Governance, and other cross-functional teams to operationalize data solutions.
• Serve as a technical thought leader influencing multi-year data strategy and platform decisions.
• Mentor team members and promote best practices across the data organization.
• Partner with other architects to ensure enterprise alignment with data standards and architectural principles.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 7+ years of experience in data architecture, database design, or related roles.
• In-depth knowledge of cloud-based data architectures, transactional and analytical systems, data modeling, data integration tools, and business intelligence concepts.
• Experience with both SQL and NoSQL database technologies.
• Proven experience designing and implementing enterprise-scale data warehouses and data lakes.
• Demonstrated expertise with Microsoft Azure services, including Azure Data Factory, Synapse, Databricks, Azure Data Lake Storage, and Salesforce.
• Experience with Salesforce data models and Salesforce Data Cloud.
• Experience leading modernization, migration, and cloud transformation initiatives.
• Advanced SQL certifications and/or ITIL knowledge are a plus.
• Strategic thinking with the ability to drive enterprise-level architectural decisions.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills, with the ability to balance technical and business trade-offs.
• Excellent collaboration and influence skills across technical and business teams.
• Ability to navigate differing viewpoints and achieve consensus.
• Adaptability to changing technologies, business priorities, and data needs.
• Strong learning mindset, particularly around cloud, AI/ML, and emerging technologies.
• Effective facilitation and consensus-building capabilities.
• Microsoft SQL Server (SSIS, SSAS, Service Broker)
• Azure (Azure SQL Database, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Azure Functions, Azure DevOps)
• Databricks
• Salesforce (Sales Cloud, Service Cloud, Data Cloud)
• Python
• Spark
• dbt
• Airflow
• Informatica Cloud
• Microsoft Office Suite
Company:
GreatAmerica is the largest, family-owned national commercial equipment finance company in the United States. Founded in 1992, the company is headquartered in Cedar Rapids, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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