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Data Integration Lead Jobs (NOW HIRING)

The ideal candidate will have a strong background in data integration, a working knowledge of SQL ... Lead the integration development team and contribute hands-on to complex integration builds using ...

The ideal candidate will have a strong background in data integration, a working knowledge of SQL ... Lead the integration development team and contribute hands-on to complex integration builds using ...

BI Integration Lead

Alameda, CA · On-site

$82 - $105.75/hr

... canonical data integration patterns and resilient integration solutions across ERP and surrounding enterprise systems. • Lead integration architecture for ERP platform SAP S/4HANA and other ...

Integration Lead

Jersey City, NJ · On-site

$73.75 - $95.25/hr

The Integration Lead will work closely with Security Hub Architects, Platform Engineers, Data ... Define integration patterns, API standards, data exchange models, and message flows. Develop ...

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What Impact You'll Have GRVTY has a position for a Data Integration Team Lead to join our support for the United States Army Intelligence and Security Command (INSCOM) at Ft Belvoir, VA. In this role ...

Roles & Responsibilities • Lead the integration workstream for the Data Center Exit to AWS program. • Assess existing integrations and define target integration architecture on AWS. • Design ...

What Impact You'll Have GRVTY has a position for a Data Integration Team Lead to join our support for the United States Army Intelligence and Security Command (INSCOM) at Ft Belvoir, VA. In this role ...

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Data Integration Lead information

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$30

$70

$95

How much do data integration lead jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data integration lead in the United States is $70.08, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Lead vs Data Engineer?

AspectData Integration LeadData Engineer
Primary FocusOversees data integration processes, manages teams, ensures data flows smoothly across systemsBuilds, develops, and maintains data pipelines and infrastructure
Skills & CertificationsData management, project management, SQL, ETL tools, leadershipProgramming (Python, Java), SQL, cloud platforms, ETL development
Work EnvironmentLeadership roles in data teams, cross-department collaborationTechnical development in data engineering teams, coding, and system design

While both roles involve working with data systems, the Data Integration Lead primarily manages and oversees data integration projects and teams, focusing on coordination and strategy. In contrast, Data Engineers focus on building and maintaining the technical infrastructure for data processing. Both roles require strong technical skills, but their responsibilities differ in scope and focus.

What is a Data Integration Lead?

A Data Integration Lead is a professional responsible for overseeing the process of combining data from different sources into a unified and consistent view. This role involves managing integration projects, ensuring data quality, and coordinating between data engineers, analysts, and business stakeholders. They design and implement data integration strategies, select appropriate tools, and ensure that data flows efficiently and securely across systems. Data Integration Leads also troubleshoot issues, optimize data pipelines, and support organizational decision-making by providing reliable and accessible data.

What are the key skills and qualifications needed to thrive as a Data Integration Lead, and why are they important?

To thrive as a Data Integration Lead, you need expertise in data management, ETL processes, and systems integration, often backed by a degree in computer science or related fields. Familiarity with integration tools such as Informatica, Talend, or Microsoft SSIS, as well as knowledge of cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills for coordinating teams and managing complex projects. These skills ensure seamless data flow, high-quality integrations, and the successful delivery of business intelligence initiatives.

What are some common challenges a Data Integration Lead faces when coordinating across multiple teams?

A Data Integration Lead often encounters challenges such as aligning data standards across diverse teams, managing conflicting priorities, and ensuring clear communication between technical and business stakeholders. They must also address data quality issues that arise during integration and coordinate timelines to minimize disruptions to ongoing operations. Success in this role requires strong project management skills, adaptability, and the ability to facilitate collaboration among data engineers, analysts, and business users.
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What job categories do people searching Data Integration Lead jobs look for? The top searched job categories for Data Integration Lead jobs are:
Infographic showing various Data Integration Lead job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 4% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.
Integration Lead/Manager

Other

Posted 7 days ago


Highline Warren rating

7.3

Company rating: 7.3 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

61st of 90 rated chemical manufacturers


Job description

Job Summary

We are looking for an experienced Integration Lead/Manager to drive the design, development, and support of enterprise integration solutions using Informatica Intelligent Cloud Services (IICS) and other iPaaS platforms. This role combines team leadership with hands-on technical development. The ideal candidate will have a strong background in data integration, a working knowledge of SQL, and a solid understanding of integration best practices, while mentoring a team of developers in a dynamic, collaborative environment.

Key Responsibilities

  • Lead the integration development team and contribute hands-on to complex integration builds using Informatica Cloud and other iPaaS platforms.

  • Establish or improve development and deployment processes, collaborating with developers and stakeholders to design effective integration solutions.

  • Gather business requirements, track important metrics, and present updates to stakeholders through status reports and cross-functional collaboration.

  • Build and test integration workflows and processes using appropriate iPaaS transformations and connectors. Maintain and enforce integration standards and best practices documentation.

  • Ensure timely delivery of integration projects by setting clear priorities, managing workloads, and proactively identifying potential risks or bottlenecks. Foster a culture of continuous improvement by encouraging knowledge sharing, conducting code reviews, and promoting best practices within the team.

  • Assist developers with documenting integration designs and workflows, and provide on-call support for production integration jobs as needed.

  • Perform medium-complexity SQL development and provide data analysis support.

  • Collaborate with cross-functional teams to ensure smooth integration with cloud and on-prem systems (e.g., Salesforce, Oracle, Workday).

  • Guide the team through the full software development lifecycle (SDLC), including Agile planning, testing, deployment, and release.

Minimum Qualifications

  • Bachelors degree in Computer Science, Information Technology, or a related field.

  • 5+ years of experience leading data integration or ETL projects, including hands-on Informatica Cloud development.

  • Ability to understand and apply integration patterns, design principles, and best practices.

  • Strong SQL skills, with experience in one or more relational databases such as SQL Server or Oracle.

  • Working knowledge of ETL tools and a basic understanding of enterprise data flows.

  • Familiarity with Agile development methodologies, SDLC processes, testing frameworks, and release management.

  • Self-starter with strong analytical and problem-solving skills.

  • Exposure to Informatica Cloud and other modern integration platforms is a significant plus.

Preferred Qualifications

  • Informatica Cloud certifications (e.g., Cloud Data Integration Specialist).

  • Experience with REST/SOAP APIs, web services, and common integration protocols.

  • Prior experience with tools such as Jira, Git, Jenkins, or other CI/CD tools.

  • Experience integrating SaaS and cloud-native systems (Salesforce, Workday, NetSuite, etc.).


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