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Cloud Architect

Job in Frisco, Collin County, Texas, 75034, USA
Listing for: Highbrow LLC
Full Time position
Listed on 2025-12-27
Job specializations:
  • Engineering
  • IT/Tech
    IT Consultant
Job Description & How to Apply Below

Cloud Architect



Employment Type :

- W2

Duration :

- Long Term

Visa Type :

- All Visa applicable which are ready for W2 except H1B

Location :

- Frisco TX OR Overland Park KS – Onsite

Job Description
  • Cloud Environment Management:
    Manage and maintain the cloud environment, including provisioning resources, configuring databases, and monitoring performance to ensure optimal functionality.
  • Performance Optimization:
    Implement strategies to optimize the performance of cloud resources.
  • Security Management:
    Implement and maintain security best practices within the cloud environment, including user access control, data encryption, and compliance with regulatory requirements.
  • Capacity Planning:
    Monitor resource utilization and plan for capacity expansion to accommodate future growth and workload demands.
  • Cost Management:
    Identify opportunities for cost optimization within thecloud environment, such as optimizing resource utilization, implementing auto-scaling policies, and leveraging cost-effective storage options.
  • Team Leadership and Mentoring:
    Provide guidance, training, and mentoring to junior members of the team, helping them develop their skills and grow in their roles.
  • Collaboration:

    Work closely with cross-functional teams, including data engineers, developers, and business analysts, to understand their requirements and ensure the cloud environment meets their needs.
  • Documentation and Best Practices:
    Document configuration, troubleshooting procedures, and best practices for managing Cloud resources, ensuring knowledge sharing and continuity within the team.
  • Continuous Improvement:
    Stay up-to-date with the latest trends and developments incloud technology and data management best practices, and recommend improvements to enhance the efficiency and effectiveness of the Azure Databricks environment.
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