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Mulesoft Architect

  • Mulesoft Architect job type Posted on: Oct 14, 2026
  • Mulesoft Architect experience level Openkyber
  • Mulesoft Architect employment type Atlanta, Georgia
  • Mulesoft Architect employment type Onsite
  • Mulesoft Architect salary Full-time

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Job Title :

Mulesoft Architect

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: O9 Integration solution architect

Location: Remote Work

Required Qualifications Experience

  • 10+ years in integration architecture and design
  • Proven experience designing enterprise-level integration solutions
  • Strong background in cloud technologies (AWS, Azure, or Google Cloud Platform)

Technical Skills

  • Expert in Python and PySpark
  • Deep knowledge of integration patterns and data flows
  • Strong understanding of data reconciliation techniques
  • Experience with APIs, microservices, and messaging systems
  • Proficiency in SQL and NoSQL databases
  • Familiarity with CI/CD and DevOps practices
  • Knowledge of data warehousing and big data technologies (Delta Lake, Data bricks, Airflow)

Soft Skills

  • Excellent problem-solving and communication abilities
  • Strategic thinker with strong analytical skills
  • Ability to lead technical initiatives independently

Preferred

  • Cloud platform certifications
  • Bachelor's/Master's degree in Computer Science or related field
  • Experience with o9 ETL technologies (SSIS or Int3.0) is preferred.

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 14, 2026

Reference Number:

105071-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: O9 Integration solution architect

Location: Remote Work

Required Qualifications Experience

  • 10+ years in integration architecture and design
  • Proven experience designing enterprise-level integration solutions
  • Strong background in cloud technologies (AWS, Azure, or Google Cloud Platform)

Technical Skills

  • Expert in Python and PySpark
  • Deep knowledge of integration patterns and data flows
  • Strong understanding of data reconciliation techniques
  • Experience with APIs, microservices, and messaging systems
  • Proficiency in SQL and NoSQL databases
  • Familiarity with CI/CD and DevOps practices
  • Knowledge of data warehousing and big data technologies (Delta Lake, Data bricks, Airflow)

Soft Skills

  • Excellent problem-solving and communication abilities
  • Strategic thinker with strong analytical skills
  • Ability to lead technical initiatives independently

Preferred

  • Cloud platform certifications
  • Bachelor's/Master's degree in Computer Science or related field
  • Experience with o9 ETL technologies (SSIS or Int3.0) is preferred.

For applications and inquiries,

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