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Senior Google Cloud Architect

Salary undisclosed

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Job Title : Senior Google Cloud Architect

Location: Remote

Duration: Long term

Job Type : Contract (We can consider - W2 / C2C )

Remote (PST/MST Preferred only)

Responsibilities:

Technical Skills:

  • Cloud Architecture: Strong expertise in cloud architecture, with experience migrating workloads to cloud environments and designing scalable, secure solutions.
  • Data Analytics/AI: Familiarity with data analytics and artificial intelligence (AI) to techniques.
  • Virtualization & Containerization: Experience with platforms like Kubernetes, Docker, other virtualization platforms.
  • Security & Networking: Solid understanding of networking and security concepts in cloud environments.
  • Migration: Hands-on experience with migrating applications and services to cloud platforms..
  • Google Cloud Platform (Google Cloud Platform): In-depth knowledge of Google Cloud Platform services, tools, and capabilities.
  • Systems Integration: Ability to integrate solutions and systems for both Independent Software Vendors (ISVS) and System Integrators (SIS).

Strategic & Business Skills:

  • Solution Architecture: Ability to architect end-to-end solutions and create enterprise integration strategies..
  • Technical Partnerships: Experience building and maintaining strategic business and technical partnerships with partners (e.g., ISVs, SIS).
  • Customer Engagement: Proven capability in engaging customers during proof of concept, migration, and deployment phases.
  • Partner Enablement: Skills in enabling partner technical teams through training, onboarding, and technical development planning.

Communication & Stakeholder Management:

  • Collaboration: Strong ability to manage multiple stakeholder's and work effectively in fast-paced, collaborative environments.
  • Technical Leadership: Excellent communication skills, including the ability to lead technical discussions with CTOS and other technical leaders.
  • Documentation & Presentations: Ability to create technical assets such as solution documentation, whitepapers, and demos for both internal and external stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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