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Data Integration Manager Jobs in Kentucky (NOW HIRING)

... Data Management (MDM), data governance, data lineage, and data modeling. • Experienced in ... • Applies integration design patterns and avoids anti-patterns to deliver scalable and ...

Data Engineer, Synthetic Data Generation

Louisville, KY · On-site +1

$110K - $132K/yr

Hands-on experience with data integration and ETL tools (e.g., Informatica, Spark, and Python). * Knowledge of data warehousing and cloud platforms . * Experience with test data management (TDM ...

Data Engineer, Synthetic Data Generation

Louisville, KY · On-site +1

$110K - $132K/yr

Hands-on experience with data integration and ETL tools (e.g., Informatica, Spark, and Python). * Knowledge of data warehousing and cloud platforms . * Experience with test data management (TDM ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

Expert Integration Architect

Frankfort, KY · On-site

$61.50 - $79.25/hr

Lead Website Auditing considering data layer for creating the tag management solution design ... Lead data integration activities for 3rd party Ad tech solutions (DMP, DSP, Ad Server, Fraud ...

Data Architect

Louisville, KY · On-site

$61.25 - $78.75/hr

Customer Data Platform (CDP) Integration: Design and manage the data architecture to effectively handle customer data, ensuring the Customer Data Platform (CDP) is integrated with the Azure data ...

... integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly ...

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Data Integration Manager information

See Kentucky salary details

$8

$44

$73

How much do data integration manager jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for data integration manager in Kentucky is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $50.53 per hour, depending on experience, location, and employer.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

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 Data Integration Managers face 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 does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
What are the most commonly searched types of Data Integration jobs in Kentucky? The most popular types of Data Integration jobs in Kentucky are:
What are popular job titles related to Data Integration Manager jobs in Kentucky? For Data Integration Manager jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Integration Manager jobs in Kentucky look for? The top searched job categories for Data Integration Manager jobs in Kentucky are:
Infographic showing various Data Integration Manager job openings in Kentucky as of June 2026, with employment types broken down into 59% Full Time, 35% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,368 per year, or $44.9 per hour.
Cognos Data Integration

Cognos Data Integration

Diverse Lynx

Louisville, KY • On-site

Other

Posted 28 days ago


Job description

Skills: Cognos Data Integration
Experience Required: 8-10
Role Descriptions: Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL
Roles & Responsibilities
• Extensive experience in data integration, ETL development, and processing data within cloud environments. • Solid understanding of Cloud 3.0 architecture principles and enterprise-approved integration patterns. • Hands-on expertise with Azure Databricks, Azure Data Lake Storage (ADLS), and Unity Catalog. • Proficient in working with relational databases, particularly PostgreSQL, with additional exposure to DB2. • Skilled in SQL, including query tuning and optimizing database performance. • Knowledgeable in data profiling, source-to-target mapping, and implementing data quality processes. • Familiarity with Kubernetes and AKS for orchestrating data transformation workloads. • Proficient in CI/CD practices, version control, and automation using tools such as GitHub, Maven, Jenkins, and Docker. • Strong foundation in Master Data Management (MDM), data governance, data lineage, and data modeling. • Experienced in managing large-scale enterprise data environments and leveraging modern cloud data platforms. • Ability to assess and revise existing analytical data models, identifying reuse opportunities and implementing changes based on business and technical requirements. • Applies integration design patterns and avoids anti-patterns to deliver scalable and maintainable Cloud 3.0 data integration solutions. • Collaborates with business and technical stakeholders to define reporting and analytics requirements, and architect/build appropriate data models, ETL processes, and data applications. • Analyzes source systems and data attributes to identify authoritative data sources, enhancing trust in enterprise reporting. • Adheres to coding standards, design patterns, unit testing, TDD, and CI/CD workflows using modern tools and technologies. • Conducts data profiling, source-to-target mapping, data analysis, data quality assessment, database design, SQL tuning, query optimization, and data architecture tasks. • Supports data governance, data quality management, data modeling, and data lineage across multiple enterprise data repositories. • Demonstrates strong problem-solving skills in developing solutions for complex analytical and data-driven challenges. • Works collaboratively with cross-functional teams and stakeholders to achieve shared business objectives.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.


Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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