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Manager Talend Data Integration Jobs (NOW HIRING)

NR Consulting

Talend Snowflake Lead

Atlanta, GA · On-site

The role requires extensive experience with Talend and Snowflake, focusing on data integration ... managed IT services. Founded in 2017, the company is headquartered in Boulder, USA, with a team of ...

Hangar Worldwide

Salesforce Architect

Blair, OK

$61.25 - $76/hr

Past projects cover SF Platform, Tableau CRM (fka Einstein Analytics, Einstein Discovery ... Certified Talend Open Studio for Data Integration consultant (Optional)

Tror AI for everyone

Databricks Lead

Chester, PA · On-site

$57 - $74.50/hr

Talend, Data Flow. • 12+ years strong experience in ETL tools like Informatica, SSIS, SQL, Azure ... to manage multiple complex projects and deliver high-quality results. • Strong attention to ...

Pandata Group

Data Integration Developer

Madison, WI

As one of our Data Integration Consultants, you love a challenge and are eager to learn. You will ... Implement and provide and advise on ELT tools such as Matillion and Talend. Skills You Bring to ...

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How much do manager talend data integration jobs pay per year?

As of Jul 18, 2026, the average yearly pay for manager talend data integration in the United States is $129,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $151,000.00 per year, depending on experience, location, and employer.

What is a Manager Talend Data Integration?

A Manager Talend Data Integration is a professional responsible for overseeing teams and projects that utilize Talend, a leading data integration platform. They manage the design, development, and implementation of data integration solutions, ensuring that data flows efficiently between various systems. Their role often includes project management, team leadership, and technical oversight, as well as collaborating with stakeholders to meet organizational data needs. Typically, they have experience in ETL processes, data warehousing, and strong knowledge of Talend tools.

How does a Manager Talend Data Integration typically collaborate with cross-functional teams to ensure successful data projects?

A Manager Talend Data Integration often works closely with business analysts, data architects, developers, and stakeholders to align data integration solutions with organizational goals. They facilitate regular meetings to clarify requirements, address challenges, and ensure that data pipelines meet both technical and business needs. Effective communication and project management skills are essential, as the manager must coordinate tasks, resolve issues, and ensure that deliverables are on schedule. This collaborative structure not only enhances project outcomes but also fosters a culture of knowledge sharing and continuous improvement within the team.

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

To thrive as a Manager Talend Data Integration, you need strong expertise in ETL processes, data warehousing, and a solid background in computer science or a related field. Proficiency with Talend Data Integration tools, experience with databases like SQL Server or Oracle, and relevant certifications (such as Talend Data Integration Certified Developer) are commonly required. Leadership, problem-solving, and excellent communication skills are essential for managing teams and coordinating with stakeholders. These skills ensure effective data integration, smooth project delivery, and alignment between technical teams and business objectives.
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Manager Talend Data Integration jobs near you
Infographic showing various Manager Talend Data Integration job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,801 per year, or $62.4 per hour.
Senior Data Modeler--- Atlanta, GA --F2F

Senior Data Modeler--- Atlanta, GA --F2F

HUMAC INC.

Atlanta, GA • On-site

Other

Posted 9 days ago

Job description

Senior Data Modeler
Work Location: Atlanta, GA --F2F
Contract duration: 6
**hybrid work set up** Job Details:
Must Have Skills
Data Modeling
ETL using Snowflake
Talend Data Modeling & Architecture
Design conceptual, logical, and physical data models for marketing platforms and customer data systems (e.g., CDP, CRM, campaign tools)
Build and maintain data schemas supporting customer 360, segmentation, attribution, and personalization
Develop scalable models for structured and semi-structured data (behavioral, transactional, demographic)
MarTech Integration Collaborate with engineering teams to integrate data across systems such as Snowflake (Enterprise Data Platform), Adobe Experience Cloud, Integrating Channels etc.
Define data flows and mapping between source systems, CDPs, and downstream Marketing activation and enablement apps
Ensure interoperability between marketing platforms and enterprise data ecosystems
Data Governance & Quality Establish data standards, naming conventions, and metadata management practices
Ensure data consistency, accuracy, and compliance (GDPR, CCPA where applicable)
Partner with data governance teams to maintain data lineage and documentation
Analytics Enablement
Required Qualifications
6+ years of experience in data modeling, data architecture, or analytics engineering
Strong expertise in:
Data modeling techniques (dimensional modeling, star/snowflake schemas, Data Vault)
SQL and database technologies (e.g., Snowflake, Redshift, Databricks, BigQuerry)
Hands-on experience with MarTech platforms (Adobe, Salesforce, Segment, etc.)
Experience working with large-scale datasets and cloud-based data platforms
Understanding of marketing data concepts (customer journeys, attribution, segmentation)
Preferred Qualifications Experience with Customer Data Platforms (CDPs)
Knowledge of real-time data processing (Kafka, streaming pipelines)
Familiarity with data transformation tools (Talend, Matillion, Snow SQL, dbt, Airflow)
Exposure to privacy and consent management frameworks
Experience with APIs and data integration patterns
Certification in cloud platforms (AWS, Azure, or Google Cloud Platform)
Key Skills Data modeling & database design
Marketing analytics understanding
Data integration and ETL/ELT
Problem-solving and critical thinking
Communication and stakeholder management

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Sirisha N

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