Solutions Architect

15 - 17 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Solution Architect Microsoft Azure

Position Overview

Solution Architect

Key Responsibilities

  • Design and implement end-to-end cloud solutions using Microsoft Azure services.
  • Translate business requirements into well-structured technical architectures.
  • Develop and maintain architectural blueprints, solution designs, and technical documentation.
  • Lead system and application integrations to ensure seamless data flow and interoperability.
  • Provide technical guidance and mentorship to development teams throughout project lifecycles.
  • Conduct regular reviews of existing solutions to identify opportunities for optimization and improvement.
  • Develop proof of concepts to validate new technologies and solution approaches.
  • Manage cloud service costs and ensure adherence to organizational security and compliance standards.
  • Establish and maintain disaster recovery and business continuity plans.

Required Qualifications

  • Minimum of 15 years of relevant industry experience.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 5 years of experience as a Solution Architect or Senior Software Engineer, preferably within the oil and gas sector.
  • Demonstrated expertise with Microsoft Azure services (App Services, Functions, Azure DevOps, Data Factory, SQL Database, etc.).
  • Strong knowledge of architecture styles, design patterns, and trade-off analysis.
  • Proven ability to design secure, resilient, and cost-efficient cloud solutions.
  • Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

  • Microsoft Certified: Azure Solutions Architect Expert or equivalent certification.
  • Experience in data integration, data warehousing, and big data technologies.
  • Exposure to IoT and edge computing solutions.
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Familiarity with machine learning techniques and analytics platforms.
  • Experience implementing CI/CD pipelines and automated testing frameworks.

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