Description

Key Responsibilities:

  • Cloud Architecture Design: Design and implement scalable, secure, and high-performance cloud architectures on Microsoft Azure.
  • Data Lake Solutions: Develop and manage Azure-based data lake solutions, ensuring efficient data storage, processing, and retrieval.
  • SAP Rise Integration: Integrate SAP Rise with Azure cloud solutions to ensure seamless data flow and interoperability.
  • Technical Leadership: Provide technical leadership and guidance to development teams, ensuring best practices in cloud architecture and data management.
  • Performance Optimization: Optimize cloud solutions for performance, scalability, and cost-efficiency.
  • Security and Compliance: Ensure cloud solutions adhere to security standards and regulatory requirements.
  • Collaboration: Work closely with developers, data scientists, and business stakeholders to deliver high-quality solutions.
  • Documentation: Maintain comprehensive documentation for cloud architectures, processes, and procedures.

Requirements:

  • Experience: 8 to 10 years of experience in cloud architecture, specializing in Microsoft Azure.
  • Data Lake Expertise: Proven experience in designing and managing data lake solutions on Azure.
  • SAP Rise: Hands-on experience with SAP Rise and its integration with cloud platforms.
  • Technical Skills: Proficiency in Azure services, including Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure Data Factory.
  • Programming: Strong programming skills in Python, SQL, and PowerShell.
  • Security: In-depth knowledge of cloud security best practices and tools.
  • Problem-Solving: Excellent problem-solving and analytical skills.
  • Communication: Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
  • Certifications: Azure certifications (e.g., Azure Solutions Architect Expert) are highly desirable.

Preferred Qualifications:

  • Experience with other cloud platforms (e.g., AWS, Google Cloud) is a plus.
  • Familiarity with DevOps practices and tools.
  • Experience with machine learning and AI solutions on Azure

Education

Any Graduate