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Data Integration Lead Jobs (NOW HIRING)

Tata Consultancy Services

Integration Lead

Irvine, CA · On-site

$120K - $140K/yr

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 ...

GRVTY

Data Integration Team Lead

Springfield, VA

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 ...

GRVTY

Data Integration Team Lead

Springfield, VA · On-site

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 ...

Stellic

Integration Lead

San Mateo, CA

$118.50K - $159.50K/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 ...

BKV Corporation

SAP Integration Lead

Denver, CO · On-site

$160K - $314K/yr

The SAP Integration Lead serves as a subject matter expert responsible for leading the design, development, and delivery of SAP S/4HANA data integrations across the enterprise. This role drives end ...

Envestnet

Data Integration Director

Concord, NC · Remote

Lead data flow governance -- real-time vs. batch decisions, data quality thresholds, data freshness SLAs * Build and manage the integration engineering team (Workato engineers, integration engineers ...

BKV Corporation

SAP Integration Lead

Denver, CO · On-site

The SAP Integration Lead serves as a subject matter expert responsible for leading the design, development, and delivery of SAP S/4HANA data integrations across the enterprise. This role drives end ...

Penumbra

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 ...

Stellic

Integration Lead

San Mateo, CA · On-site

$235K - $260K/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 ...

Envestnet

Data Integration Director

Concord, NC · Remote

Lead data flow governance -- real-time vs. batch decisions, data quality thresholds, data freshness SLAs * Build and manage the integration engineering team (Workato engineers, integration engineers ...

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How much do data integration lead jobs pay per hour?

As of Jun 1, 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 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 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 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.

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:
Data Integration Lead jobs near you
Data Integration Engineering Lead

Data Integration Engineering Lead

Pinnacle

Pasadena, TX • On-site

Full-time

Posted 19 days ago

Job description

We are building a team of trailblazers, who embody growth, impact, and excellence.
Job Description
The Enterprise Data Architect, Lead plays a crucial role in designing, implementing, and maintaining data integration solutions within our organization. This role collaborates with customers and cross-functional teams to ensure seamless data pipelines from customers' systems. The expertise for this role will contribute to the organization's overall strategy and architecture for data acquisition.
Job Duties
  • Source System Extraction (This Is the Core of the Role)
  • Independently extract data from industrial source systems including OSIsoft PI historians, SAP PM/EAM, Maximo, eMaint, lab/LIMS systems, and other CMMS/ERP platforms.
  • Navigate customer IT environments to establish connectivity - VPNs, service accounts, firewall rules, read-only database access - often with limited or no documentation.
  • Reverse-engineer undocumented or poorly documented source schemas to identify the right data for integration.
  • Build and own the extraction layer: connectors, API calls, direct database queries, file-based ingestion from heterogeneous client environments.
  • Handle the reality that every customer's data is messy in a different way - inconsistent tag naming, mismatched equipment IDs, unmaintained asset hierarchies.
  • Data Transformation and Pipeline Development
  • Design, build, and maintain data pipelines that clean, transform, and load extracted data into our reliability platform.
  • Develop integration architecture and blueprints tailored to each customer's source system landscape.
  • Implement data quality checks, reconciliation processes, and monitoring to ensure ongoing accuracy.
  • Build and maintain master data mapping strategies - including change management processes as clients execute MOCs, add equipment, or decommission assets.
  • Own pipeline monitoring, alerting, and uptime SLAs for all production data extraction and integration systems. These are live production pipelines serving customers - when extraction fails, you are responsible for detecting the failure, diagnosing the root cause, and restoring the data flow within SLA.
  • Client Communication and Technical Leadership
  • Serve as the primary technical point of contact with customer IT teams for all data access and connectivity matters.
  • Respond to detailed technical inquiries from client IT leadership (architecture questions, data mapping strategies, security concerns) with clarity and confidence.
  • Lead discovery sessions with customers to understand their source systems, data flows, and integration requirements.
  • Create and maintain architecture documentation, integration runbooks, and data dictionaries for each client engagement.
  • Provide technical guidance and mentorship to team members and drive knowledge sharing across the data engineering team.
  • Manage integration project plans, timelines, and deliverables across multiple concurrent client engagements. Drive accountability on milestones, coordinate dependencies with client IT teams, and ensure integrations are completed on schedule.
  • Strategy and Team Building
  • Lead the enterprise data integration strategy and platform architecture across the organization.
  • Provide new ideas and approaches to the CTO and enterprise architecture team on data acquisition and integration best practices.
  • Drive recruitment to build and grow a high-performing data engineering team.
  • Continuously evaluate and adopt emerging data technologies and practices.

Accountabilities/Results/Success for this role
  • Successful design and deployment of scalable and secure data architectures and data pipelines.
  • Enhanced data quality, efficiency, and accessibility across the organization.
  • Effective execution of data integration projects, demonstrating strong project management skills and consistent delivery on time and within scope.
  • Continuous improvement and adoption of emerging data technologies and practices.
  • Creation of innovative, customer-focused data solutions that set the organization apart and add measurable value.

Measures
Percentage of projects delivered on time: 80%
Team utilization: 80%
Data Solutions: 3
Production pipeline uptime: 99.5%
Required Qualifications/Skills/Competencies
  • Hands-on experience extracting data from at least two of: OSIsoft PI, SAP PM/EAM, Maximo, eMaint, or similar industrial/operational systems. This is non-negotiable.
  • Experience in oil and gas, refining, chemicals, or heavy industry environments.
  • Direct experience working with customer or client IT teams to negotiate and establish data access (firewall rules, VPN connectivity, service accounts, API credentials).
  • SQL proficiency - specifically the ability to explore unfamiliar database schemas and write extraction queries with little or no documentation.
  • Python for data extraction, transformation, and pipeline automation.
  • Experience with cloud-based data integration (Azure Data Factory, Azure Functions, or comparable).
  • Strong knowledge of data integration patterns, ETL/ELT, APIs, and messaging protocols (REST, SOAP, OPC).
  • Demonstrated experience with enterprise database technologies and data modeling.
  • Excellent communication skills - you'll be the person answering detailed technical emails from client IT directors and leading discovery calls

Preferred Qualifications
  • Familiarity with reliability engineering concepts (RBI, CMMS workflows, asset hierarchy management, inspection data).
  • Experience with Cognite Data Fusion (CDF) or similar industrial data platforms.
  • Knowledge of PI Web API, PI SDK, or AF SDK for historian data extraction.
  • Experience with OPC-UA/DA protocols for real-time industrial data.
  • Background in data governance and compliance measures.
  • Understanding of microservices architecture and containerization (Docker, Kubernetes).
  • Experience with DevOps tools and practices (Azure DevOps, CI/CD pipelines

Equipment and Software Knowledge
  • Expertise in data integration tools and platforms (e.g., Azure Data Factory, Informatica, Talend).
  • Proficiency in big data platforms (Hadoop, Spark, etc.) and analytics tools (Power BI, Tableau).
  • Familiarity with DevOps tools and practices (e.g. Azure DevOps).

Direct Reports
Data Engineers will report to this role
Pinnacle is an equal employment opportunity employer and does not discriminate based on race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, genetic information, or any other characteristic protected by applicable law.

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