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Data Integration Manager Jobs in Indiana (NOW HIRING)

JMS Technical Solutions

Data Platform Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... management, data democratization, and real-time activation. * Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the ...

Guidehouse

Data Architect

Indianapolis, IN

$61 - $78.25/hr

Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have * Strong understanding of data governance, metadata management, and lineage * Ability to ...

Guidehouse

Data Architect

Indianapolis, IN · On-site

$61 - $78.50/hr

Experience integrating multiple data sources and managing complex data pipelines What Would Be Great to Have * Strong understanding of data governance, metadata management, and lineage * Ability to ...

culveracademies

Applications Specialist

Culver, IN

Data Integration Management * Keep our systems talking to each other smoothly by building well-maintained integrations using APIs. * Investigate and resolve complex data integration issues between ...

culveracademies

Applications Specialist

Culver, IN · On-site

Data Integration Management * Keep our systems talking to each other smoothly by building well-maintained integrations using APIs. * Investigate and resolve complex data integration issues between ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

... integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Indiana

Data Integration Manager information

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$9

$49

$80

How much do data integration manager jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data integration manager in Indiana is $49.18, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $55.34 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 Indiana? The most popular types of Data Integration jobs in Indiana are:
What are popular job titles related to Data Integration Manager jobs in Indiana? For Data Integration Manager jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Integration Manager jobs in Indiana look for? The top searched job categories for Data Integration Manager jobs in Indiana are:
Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,294 per year, or $49.2 per hour.
Data Platform Engineer

Data Platform Engineer

JMS Technical Solutions

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted 17 days ago

Job description

The Data Platform Engineer is responsible for building, implementing, and maintaining technical solutions that align with best-practice standards and client needs. Working closely with Data Architects, they provide technical execution and development support within Salesforce.com and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem. 

Role Responsibilities:

  • Data Architecture & Infrastructure Implementation
    • Enterprise D360 Harmonization: Implement and maintain data structures that align with business needs, leveraging Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real-time activation. 
    • Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML initiatives.  
    • Legacy Migration: Execute the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.  
    • Governance & Trust: Configure and maintain data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
  • Data Modeling & Pipeline Engineering:
    • Ingestion & Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise data into Salesforce D360 from various cloud sources and APIs.  
    • D360 Identity Resolution: Build and support scalable data models and metadata architectures within Salesforce D360, implementing identity resolution rules, reconciliation rules, and unified data graphs as designed.  
    • Performance Optimization: Monitor, troubleshoot, and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environments. 
  • Technical Execution and Collaboration:
    • Cross-Functional Collaboration: Collaborate actively with key stakeholders—including business users, data engineers, data scientists, and CRM IT teams—to understand technical specifications and deliver unified data solutions.  
    • Ecosystem Implementation: Help evaluate, test, and integrate appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.  
    • Technical Guidance: Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams.

 Experience/Skills Required:

  • Experience: 3+ years of experience in data engineering, technical consulting, or database development for cloud data platforms with multiple enterprise workstreams.
  • Salesforce D360 (Data Cloud) Capabilities: Strong working knowledge of the data cloud architecture, including data models (DMOS, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
  • Modern Data Methods: Familiarity and alignment with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation.
  • Broad Data Ecosystem Experience: Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
  • Strong Communication: Excellent verbal and presentation abilities, capable of effectively communicating technical engineering concepts and data updates to stakeholders and team members.
  • Technical Tooling & Development: Strong proficiency with data-centric programming languages (such as SQL and Python) as well as Salesforce application development components (Apex, Flow, LWCs, MuleSoft).
  • Engineering Patterns: Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis).
  • Structured Data Modeling: Practical experience with data modeling methodologies (such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures) and mapping them into a canonical Customer 360 model.
  • US Authorization: Must have full-time permanent US work authorization.

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