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Data Integration Lead Jobs (NOW HIRING)

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 ...

Responsibilities : • Lead design, development, and implementation of ETL processes and data models to integrate source data into a Process Intelligence platform (e.g., Celonis). • Participate in ...

Also documents internal/external intelligence information management and data integration best ... This position acts in partnership with the Intelligence Solutions Integrator Team Lead.

... 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 ...

BI Integration Lead

Alameda, CA · On-site

$153K - $210K/yr

... 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

San Mateo, CA · On-site +1

$235K - $275K/yr

This is mission-critical infrastructure where data correctness and reliability directly affect ... As a technical lead on Integration, you will play a central role in shaping how external data flows ...

Data Integrations Lead

Spokane, WA · On-site

$115K - $120K/yr

URM Stores, Inc . is looking for a Data Integrations Lead , to be the senior hands-on technical ... Review integration design and code for security, performance, maintainability, observability, and ...

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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 Jul 21, 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 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 often work with tools like ETL (Extract, Transform, Load) software and coordinate with data analysts and IT teams to support business intelligence and decision-making.

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 does a data lead do?

A Data Integration Lead manages the process of combining data from different sources to ensure accurate and efficient data flow within an organization. They oversee data mapping, transformation, and quality, often using tools like ETL software, and collaborate with data teams to support analytics and decision-making.

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.

What is the role of an integration lead?

An integration lead is responsible for overseeing the design, development, and implementation of data and system integrations within an organization. They coordinate between teams, ensure compatibility of different systems, and often utilize integration tools and APIs to facilitate seamless data flow. Strong technical skills, project management, and knowledge of data architecture are essential for this role.

Is data integration a good career?

Data Integration Lead is a valuable role in organizations that require consolidating data from multiple sources for analysis and decision-making. It involves skills in database management, ETL tools, and data modeling, with demand growing as companies prioritize data-driven strategies. The career offers opportunities for advancement and specialization in data architecture and analytics.
More about Data Integration Lead jobs
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% 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

Integration Lead

Fixity Technologies LLC

Irvine, CA • On-site

Full-time

Re-posted 7 days ago


Job description

Integration Lead
Must Have Technical/Functional Skills
• Strong hands-on experience leading enterprise integration initiatives in large IT landscapes. 
• Deep expertise in integration platforms such as TIBCO ESB and Informatica Cloud (IICS). 
• Proven experience supporting Data Center Exit or on premises to public cloud migration programs. 
• Strong understanding of zero downtime and incremental data synchronization patterns. 
• Experience with batch, real-time, API-based, event-driven and CDC-based integrations. 
• Solid knowledge of Oracle and SQL Server integration and data movement patterns. 
• Experience integrating Java and .NET based applications across hybrid environments. 
• Strong coordination skills across application, DB, cloud, security and migration teams. 
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 and implement zero downtime or near zero downtime integration and data sync approaches. 
• Migrate and modernize TIBCO and Informatica integrations to AWS-based platforms. 
• Plan and support migration waves by validating integration readiness and dependencies. 
• Participate in wave based cutover execution with formal integration go/no go checkpoints. 
• Ensure data consistency, reconciliation and interface stability during cutover and hypercare. 
• Troubleshoot integration issues during migration, cutover and post migration stabilization. 
Cloud Experience Needed 
• 10+ years of overall integration experience with at least 4–5 years in cloud environments. 
• Hands-on experience running TIBCO and Informatica integrations on AWS. 
• Proven experience executing incremental and zero downtime integration migrations. 
• Experience supporting wave based migration execution with readiness checks and go/no go approvals. 
• Good understanding of AWS services such as EC2, S3, VPC and networking concepts. 
• Familiarity with IAM, security and data protection for integrations. 
• Experience working in large, mission critical enterprise Data Center Exit programs. 
• Integration, Informatica, TIBCO or AWS certifications are preferred.