Qlik Talend Cloud (QTC) Architect

Diverse Lynx, LLC

  • Davidson, NC
  • 6 days ago
  • $65–$70 Per Hour

Highlights

The ideal candidate will have strong hands-on experience with Qlik Talend Cloud, real-time Change Data Capture (CDC) pipelines, database integration, and cloud-based data processing. The candidate should be capable of defining architecture, building and Eligible to workimizing data pipelines, and ensuring reliable data movement across enterprise systems.

Numbers & Facts

LocationDavidson, NC
Salary$65–$70 Per Hour

Description

Job Title: Qlik Talend Cloud (QTC) Architect

Location: Davidson, NC 28036 (Remote with occasional travel to the office)

Experience: 8-10 Years

Job Type: Contract

Required Experience: 5+ Years of Hands-on Qlik Talend Cloud (QTC) Experience

Duration: 6-12 Months Contract

Rate: $65 to $70/hr

Job Summary

We are seeking an experienced Qlik Talend Cloud (QTC) Architect to design, develop, and implement scalable data integration solutions. The ideal candidate will have strong hands-on experience with Qlik Talend Cloud, real-time Change Data Capture (CDC) pipelines, database integration, and cloud-based data processing.

The candidate should be capable of defining architecture, building and Eligible to workimizing data pipelines, and ensuring reliable data movement across enterprise systems.

Key Responsibilities

  • Design and build real-time, log-based Change Data Capture (CDC) pipelines using Qlik Talend Cloud.
  • Define architecture and implementation strategies for enterprise data integration solutions.
  • Integrate Oracle and Microsoft SQL Server databases with downstream data platforms.
  • Design and implement CI/CD strategies using GitHub-integrated pipelines.
  • Develop data transformation workflows, schema mappings, and sensitive-data masking solutions.
  • Eligible to workimize pipeline performance, minimize latency, and troubleshoot data integration issues.
  • Support cloud-based data integration across Eligible to workP, AWS, and OIC environments.
  • Establish best practices for data quality, reliability, monitoring, and maintainability.
  • Collaborate with business and technology stakeholders to translate requirements into technical solutions.

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