Data & AI Specialist (Cloud Solution Architect)

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
BashMicrosoft SQL ServerAzureCI/CDLinuxDevOpsTerraform

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field.
  • Proven experience as a Database Architect, Cloud Architect, or Migration Lead.
  • Strong hands-on expertise with Microsoft SQL Server (2019/2022), especially on Linux environments.
  • Solid Linux administration experience and understanding of enterprise system operations.
  • Experience designing and executing large-scale database migration or modernization projects.
  • Strong knowledge of cloud platforms (preferably Azure) and hybrid infrastructure architectures.
  • Familiarity with automation tools such as Terraform, ARM, or Bicep is highly desirable.
  • Experience with CI/CD practices, DevOps workflows, and infrastructure automation.
  • Strong analytical, problem-solving, and customer-facing communication skills.
  • Microsoft Azure and SQL Server certifications are preferred; Linux certifications (e.g., RHCSA/RHCE) are a plus.

Responsibilities

  • Act as a trusted technical advisor for enterprise customers, guiding SQL Server migration strategies from Windows to Linux and cloud/hybrid environments.
  • Lead end-to-end migration architecture design, including discovery, assessment, workload analysis, and execution planning.
  • Define and validate migration approaches such as rehost, re-platform, and modernization aligned with customer objectives.
  • Design scalable SQL on Linux solutions across Azure and hybrid environments, ensuring security, performance, and reliability.
  • Provide architectural guidance on Azure Virtual Machines, Azure Arc, identity, networking, and cost optimization strategies.
  • Develop migration plans including cutover strategies, rollback mechanisms, and success criteria definition.
  • Collaborate with infrastructure, DBA, and application teams to ensure successful delivery of migration programs.
  • Drive automation and modernization using CI/CD pipelines, Infrastructure as Code, and scripting tools such as Bash and PowerShell.
  • Identify opportunities for performance improvement, cloud adoption, and long-term platform modernization.
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