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About the Role:
- Design and own the end-to-end architecture for Microsoft Fabric, including OneLake data lake structure, workspace and capacity strategy, and medallion layering.
- Define and implement DevOps practices for Fabric: Git integration, deployment pipelines, environment promotion, and infrastructure-as-code.
- Build and maintain CI/CD pipelines for Fabric artifacts with automated testing and rollback strategies.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
- 10+ years of experience in Data Engineering or Cloud Data Platform development.
- 2+ years of hands-on experience with Microsoft Fabric in enterprise implementations.
Responsibilities:
- Architect and enforce governance, security, and access controls across Fabric.
- Lead migration efforts from legacy platforms onto Microsoft Fabric.
- Mentor engineering teams on Fabric architecture patterns and DevOps practices.
EazyML
EazyML specializes in Responsible AI, recognized by Gartner, providing proactive compliance and sustainable automation solutions. The company is associated with breakthrough startups like Amelia.ai and focuses on responsible AI innovation.