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Blue Altair

Data-driven digital transformation and API integration

Workato Architect - Workato

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 3–5 years of experience in integration development.
  • Strong hands-on experience with the Workato integration platform.
  • Experience designing and developing integrations with cloud-based platforms.
  • Proficiency in integration patterns, including RESTful APIs, SOAP, and webhooks.
  • A good understanding of data mapping, transformation, and orchestration.

Responsibilities

  • Design, develop, and implement integration solutions using Workato.
  • Build, maintain, and monitor automated Workato workflows for cloud and on-premises systems.
  • Troubleshoot and resolve Workato integration issues, ensuring reliability through testing and debugging.
  • Stay current with Workato updates and document integration processes and best practices.
  • Build reusable frameworks and mentor team members.

Desired Qualifications

  • Familiarity with another integration tool.
  • Workato certification.
  • Experience with SQL and database integration.

About the Company

Blue Altair

Data-driven digital transformation and API integration

Blue Altair is a technology and business consulting firm that helps clients with digital transformation by treating data as a core asset. Its offerings center on data management (data governance, metadata management, data quality), API ecosystem development and management to integrate systems and reduce duplication, and applying machine learning and responsible AI to derive insights, automate manual tasks, and optimize outcomes. The company uses automated frameworks and a digital transformation strategy that blends ML/AI tools, business analytics, and QA as a Service (QAaaS). It serves forward-thinking, agile organizations building modern cloud-based architectures (microservices, DevSecOps) to meet customer needs. Its goal is to enable organizations to capture, store, process, and analyze data effectively to improve decisions and operations.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2015

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