Senior Cloud Solutions Architect

2 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

We are seeking a highly skilled Sr. Cloud Architect to spearhead the design and implementation of cloud-native solutions, ensuring seamless integration with enterprise environments.

Key Responsibilities:
  • Cloud Platforms:
    • Familiarity with Microsoft Azure services, including compute, storage, networking, databases, and security.
    • Hands-on experience with Google Cloud Platform services such as Compute Engine, Cloud Storage, VPC, BigQuery, and Kubernetes Engine.
    • Familiarity with Amazon Web Services offerings, including EC2, S3, VPC, RDS, Lambda, and IAM.
  • Architecture Design:
    • Ability to architect highly available, fault-tolerant, and scalable cloud solutions that meet business requirements and align with best practices.
    • Experience with multi-cloud or hybrid cloud solutions to leverage the strengths of different cloud providers while ensuring interoperability and security.
  • Data Analytics and Business Intelligence:
    • Familiarity with data analytics and business intelligence tools for querying, visualization, and reporting, such as Power BI, Tableau, or Google Data Studio.
    • Ability to architect end-to-end analytics solutions that integrate data from multiple sources, perform advanced analytics, and deliver actionable insights to stakeholders.
  • CI/CD & IAC:
    • Familiarity with integration of data pipelines into CI/CD workflows for automated testing, deployment, and monitoring.
    • Experience with version control systems (e.g., Git), continuous integration tools (e.g., Jenkins, Azure DevOps), and deployment automation techniques for data infrastructure.
  • Security and Compliance:
    • Strong understanding of cloud security principles and best practices, including identity and access management, data encryption, network security, and compliance standards.
  • Cross-functional Collaboration:
    • Ability to collaborate effectively with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements, define data models, and deliver data-driven solutions.

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