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  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
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  2. Click. then Settings.
  3. Click Privacy and Security.
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  5. Click JavaScript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
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  4. Scroll down and click on JavaScript.
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  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...
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Google Cloud Platform Architect and Solution Designer

Salary undisclosed

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Dice
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About DataAffect: We are a boutique data/service management firm specializing in the delivery of Data Governance, Enterprise Data Strategy, Solutions Architecture, Data Warehousing, Data Integrations, Data Security & Privacy Management, IT Service Management, Business analysis (and) Agile Project Management services to diverse clients across multiple industries.

Role: Google Cloud Platform Architect and Solution Designer

Location: Dallas, TX or Charlotte, NC Onsite role

Duration: 6+ months

Key Responsibilities:

  • Design and architect scalable cloud platforms to develop, deploy scalable integration and Peta Byte scale data migration, and AI solutions leveraging ML techniques.
  • Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform
  • Design foundational solutions to enable multiple batch and real time integration patterns between On Premise and Cloud
  • Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy.
  • Define and implement Google Cloud Platform architecture best practices, frameworks, and standards.
  • Lead Google Cloud Platform infrastructure setup, including cloud services selection, data pipelines, and model deployment.
  • Ensure robustness, reliability, and scalability of solutions in production environments.
  • Design and implement data governance, security, and compliance measures for data and non-data objects.
  • Optimize ML workflows for performance, cost efficiency, and resource utilization.
  • Provide technical leadership and mentorship to development teams.
  • Communicate architecture decisions and solution design to stakeholders and executives.

Key Requirements:

  • Proven experience as Google Cloud Platform Architect
  • Deep understanding of ML algorithms, Vertex ASI, Big Query, Data Proc, Composer, STS, DataPlex
  • Strong knowledge of development life cycle, software engineering principles, data engineering principles
  • Experience with containerization and orchestration tools on prem and cloud (e.g GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.
  • Ability to design and optimize distributed computing systems for AI/ML workloads.
  • Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
  • Excellent problem-solving skills and ability to address complex technical challenges.
  • Effective communication skills to collaborate with cross-functional teams and 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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