Solutions 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.