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Data Integration Manager Jobs in Kansas (NOW HIRING)

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM ... Must be able to work and travel independently, manage multiple and competing demands.

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM ... Must be able to work and travel independently, manage multiple and competing demands.

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM ... Must be able to work and travel independently, manage multiple and competing demands.

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM ... Must be able to work and travel independently, manage multiple and competing demands.

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM ... Must be able to work and travel independently, manage multiple and competing demands.

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

... environment, focusing on data integration, pipeline development, and data governance ... management solutions. • Participate in agile story authoring, sizing, and demo sessions for ...

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with ... Experience with data integration, transformation, and orchestration tools. Textron Aviation Inc ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with ... Experience with data integration, transformation, and orchestration tools. Textron Aviation Inc ...

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

Manage data in both on-premises and cloud environments (Azure, AWS, etc.). Collaborate with ... Experience with data integration, transformation, and orchestration tools. Textron Aviation Inc ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Must be able to work and travel independently, manage multiple and competing demands. Why work here ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

... integration from diverse sources. • Document data flows and contribute to data quality and ... Manage data in both on-premises and cloud environments (Azure, AWS, etc.). • Collaborate with ...

Data Architect

Leawood, KS · On-site

$108K - $154K/yr

Design and maintain scalable data pipelines and integrations across systems using APIs and data ... Enforce standards for security, compliance, performance, and cost management. * Stay current with ...

Sr Integrations Engineer

Lenexa, KS · On-site +1

$97K - $131K/yr

Our team utilizes systems and tools that manage every part of Kiewit's business and the project ... Data integration patterns Preferred Qualifications * Experience developing enterprise integrations.

Hands-on experience managing replication tools (HVR/Fivetran, DataStream, or similar CDC tools) to ... integration, prompt engineering for data workflows) * Working knowledge of reporting and ...

Hands-on experience managing replication tools (HVR/Fivetran, DataStream, or similar CDC tools) to ... integration, prompt engineering for data workflows) * Working knowledge of reporting and ...

Showing results 21-40

Data Integration Manager information

See Kansas salary details

$9

$46

$75

How much do data integration manager jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data integration manager in Kansas is $46.09, according to ZipRecruiter salary data. Most workers in this role earn between $38.80 and $51.88 per hour, depending on experience, location, and employer.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require skills in data management, database systems, and project coordination to facilitate seamless data flow across organizations.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a data integration manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.
What are popular job titles related to Data Integration Manager jobs in Kansas? For Data Integration Manager jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Integration Manager jobs? Cities in Kansas with the most Data Integration Manager job openings:
Infographic showing various Data Integration Manager job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $95,875 per year, or $46.1 per hour.

Data Architect

Advantage Tech

Topeka, KS • Hybrid

$131K - $177K/yr

Full-time

Re-posted 3 days ago


Job description

Title: Data Architect 

Location: 4 days in office in Topeka, 1 day remote 

Type: Perm 


Role:

The Data Architect is responsible for establishing and evolving the organization’s data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering. 


Responsibilities:

  • Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards.
  • Design simple, scalable data flows: 
  • Source systems ingestion, Databricks, consumption 
  • Establish foundational data models (bronze / silver / gold or equivalent) 
  • Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns. 
  • Translate business and analytics needs into practical data designs and patterns.
  • Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains.
  • Support early analytics, BI, and data science use cases. 
  • Guide engineers and analysts on best practices in Databricks. 
  • Maintain data architecture roadmaps and priorities.
  • Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options.
  • Identify technical debt early and propose incremental improvements.
  • Act as a hands-on advisor to resolve complex data issues, not just a governance role.
  • Evaluate emerging technologies and industry trends to guide future investments and modernization efforts.


Expectations:

  • Perform responsibilities independently with minimal oversight. 
  • Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results.
  • Consistently takes action in alignment with client values. 
  • Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation.


Knowledge and Skills:

Experience:   

- Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design. 

Education:    

- Bachelor’s degree in computer science or related technology degree.

- Professional certificate or a graduate degree highly regarded.

Interpersonal Skills:    

- Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation.


Other Preferred Skills:

  • Experience with Databricks, Azure Data Factory, and Power BI.
  • Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns.
  • Must be able to work and travel independently, manage multiple and competing demands.