Data Integration Manager

A Data Integration Manager oversees the planning, implementation, and management of data integration solutions, ensuring seamless data flow across systems and applications.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Data Integration Manager

Glassdoor
Market
National (USA)
Base Salary
$117,366 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Master's Degree

The average salary for Data Integration Manager is $117,366 / year according to Glassdoor.com

There are no updated reports for Data Integration Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Data Integration Manager role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Data Integration Manager, you will be responsible for designing and implementing data integration solutions to consolidate and synchronize data from various sources within an organization. You will need a strong understanding of data integration principles and technologies, as well as experience with ETL (Extract, Transform, Load) processes and data mapping. Strong problem-solving and communication skills are essential, as you will be responsible for optimizing data integration performance and ensuring data consistency.

The average salary for Data Integration Manager is $117,366 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Data Integration Manager has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The Data Integration Manager is responsible for the design and implementation of data integration processes and systems. They work with a variety of data sources and systems to ensure that data is accurate, consistent, and accessible. They also work with business and technical teams to understand data needs and requirements, and to develop solutions that meet those needs.

The most important skills for a Data Integration Manager include:

  • Strong understanding of data architecture and data modeling
  • Proficiency in data integration tools and technologies
  • Experience with data sources such as databases, files, and APIs
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities

The Data Integration Manager's tasks include:

  • Designing and implementing data integration processes and systems
  • Working with business and technical teams to understand data needs and requirements
  • Developing solutions that meet those needs
  • Testing and validating data
  • Documenting and maintaining data integration processes and systems
  • Training and supporting users

The Data Integration Manager is a key member of the data management team, and they play a critical role in ensuring that data is accurate, consistent, and accessible. They work with a variety of data sources and systems to ensure that data is properly integrated and that it is available to users when they need it. They also work with business and technical teams to understand data needs and requirements, and to develop solutions that meet those needs.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Microsoft Certified: Azure Data Scientist Associate

DP-100

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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

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Microsoft Certified: Azure Data Engineer Associate

DP-203

The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.

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Google Certified Professional Data Engineer

The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.

Advanced
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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

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Microsoft Certified: Azure Enterprise Data Analyst Associate

DP-500

The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

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AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

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Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Data Science for Business Leaders

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This specialization covers TensorFlow, BigQuery, and Google Cloud Platform. You will learn Big Data capabilities, modernize Data Lakes, and build resilient streaming analytics systems on Google Cloud.

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Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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