Position Details
About this role
This role involves designing, developing, and supporting complex data integrations using Mulesoft and cloud technologies, primarily AWS and Snowflake, to enable scalable enterprise solutions.
Key Responsibilities
- Design complex integrations leveraging DataWeave 2.0 and cloud services
- Architect integrations using AWS and Snowflake
- Define and maintain integration standards
- Guide development teams
- Support enterprise data governance
Technical Overview
The technical environment includes Mulesoft Anypoint Platform, AWS cloud services, Snowflake data platform, and AI tools like Einstein AI, focusing on REST/SOAP APIs, messaging queues, and event-driven architecture.
Ideal Candidate
The ideal candidate is a mid-level solutions architect with extensive experience in Mulesoft integration platforms, cloud services including AWS, and enterprise data platforms like Snowflake. They should possess strong leadership skills and the ability to design complex, scalable integrations.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of Mulesoft certification, No experience with AWS or Snowflake, Less than 8 years of relevant experience, No leadership or technical guidance experience
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