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Solutions Architect ( Cloud and Data warehousing)

Solutions Architect ( Cloud and Data warehousing)

R SystemsCoimbatore, IN
11 days ago
Job description

About us :

At R Systems, we are shaping the future of technology by designing cutting-edge software products, platforms, and digital experiences that drive business growth for our clients.

Our product mindset and advanced engineering capabilities in Cloud, Data, AI, and Customer Experience empower us to deliver innovative solutions to key players across the high-tech industry. This includes ISVs, SaaS, and Internet companies, as well as leading organizations in telecom, media, healthcare, finance, and manufacturing.

We are Great Place to Work® Certified™ in 10 countries where we have a full-time workforce - India, the USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia, and Thailand. This means we are a dynamic, global team that values continuous learning, collaboration, and innovation. Join us and experience a workplace where your contributions are celebrated, and your growth, development, and well-being are at the heart of everything we do!!

Exp Range : 10+ Yrs

  • Qualifications :
  • Proven experience as a Cloud Architect or similar role, with a strong focus on Azure, Alibaba Cloud, and AWS.
  • Expertise in Data Warehousing and Data Lake architectures.
  • Experience supporting applications in Finance, Actuarial, HR, Compliance, or Marketing domains is a plus.
  • Strong understanding of cloud security principles and best practices.
  • Excellent communication and collaboration skills.
  • Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) are preferred.
  • Key Responsibilities :
  • Design and implement scalable cloud architectures on Azure, Alibaba Cloud, and AWS.
  • Collaborate with development teams to ensure seamless integration of cloud solutions.
  • Develop architectural blueprints and documentation to guide the implementation process.
  • Evaluate and recommend cloud services and tools to enhance performance and cost-effectiveness.
  • Provide technical guidance and support to teams working on Data Warehousing (DWH) and Data Lake projects.
  • Ensure compliance with industry standards and best practices in security and data governance.
  • Participate in code reviews and architecture discussions to uphold quality standards.
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