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Azure Solution Architect - Data Platform

ResourceTree Global Services Pvt Ltd
8 - 12 Years
Anywhere in India/Multiple Locations

Posted on: 01/07/2026

Job Description

Role : Azure Solution Architect

Role Overview :


We are looking for an experienced Azure Solution Architect to lead the design of scalable, secure, and enterprise-grade cloud solutions on Microsoft Azure.


This role is primarily focused on architecture design, technical solutioning, and stakeholder advisory, with a strong emphasis on data and AI platforms.


The ideal candidate will translate business requirements into robust architecture blueprints, define high-level and low-level designs, and guide delivery teams in implementing solutions aligned to Azure best practices, security standards, and operational resilience requirements.

Key Responsibilities :

- Lead end-to-end architecture design for Azure-based enterprise solutions, with a focus on data, analytics, and GenAI platforms.

- Create high-level designs (HLDs) and low-level designs (LLDs) covering application, data, integration, security, network, and platform architecture.

- Define target-state architectures, architecture roadmaps, and transition plans for cloud adoption, modernization, and migration initiatives.

- Ensure solutions align with the Azure Well-Architected Framework, including reliability, security, performance efficiency, operational excellence, and cost optimization.

- Design for scalability, availability, disaster recovery, backup, observability, and governance.

- Provide architecture oversight across the solution lifecycle, including design reviews, risk assessments, and technical decision-making.

- Partner with business stakeholders, delivery teams, and leadership to translate functional and non-functional requirements into practical architecture patterns.

- Establish reusable reference architectures, design standards, and best practices for Azure solution delivery.

- Guide engineering teams during implementation to ensure adherence to approved architecture and enterprise standards.

Required Skills & Experience :

- 8-12 years of experience in cloud, platform, or solution architecture, with strong experience designing enterprise-grade solutions on Azure.

- Azure Mastery : Knowledge of workings of ADLS, ADF, Azure Fabric, Synapse, Stream Analytics, Purview, Azure OpenAI Services, Azure AI Foundry, Azure AD, Database knowledge (Cosmos DB, Azure SQL, Neo4j) - Proven expertise in architecture design and solution blueprinting for cloud-native and hybrid environments.

- Strong understanding of Azure architecture across data, integration, identity, security, and platform services.

- Experience architecting modern data and AI solutions using Azure services such as data lakes, data integration, analytics platforms, governance services, and Azure AI capabilities.

- Strong grounding in security, access control, networking considerations, resilience, backup/DR, and operational design.

- Ability to define architecture for both structured data platforms and emerging GenAI workloads.

- Strong communication skills with the ability to engage technical and non-technical stakeholders.

- Experience leading architecture workshops, reviewing designs, and mentoring delivery teams.


Preferred Azure Exposure Experience with Azure services in areas such as :

- Data platform and analytics services

- AI/ML and GenAI services

- Identity and access management

- Governance and data cataloging

- Relational, NoSQL, and graph databases

- Monitoring and operational tooling

Good to Have :

- Familiarity with Infrastructure as Code and automation approaches such as Terraform, ARM/Bicep, or similar tools.

- Exposure to DevOps and CI/CD practices in Azure environments.

- Experience with enterprise integration patterns and API-based architectures. Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- Microsoft Certified : Azure Solutions Architect Expert (AZ-305) preferred.


Leadership Expectations :

- Ability to lead architecture discussions and influence technical direction across teams.

- Strong consulting mindset with the ability to shape client-facing solution narratives and executive-level communication.

- Ability to mentor engineers and act as the architecture point of contact for complex engagements.

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