Azure Architect (Data and AI)

Roles & Responsibilities

• Design end-to-end data architecture on Azure covering ingestion, storage, transformation, governance, and consumption layers
• Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB
• Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services
• Design data governance, security, and compliance frameworks using Microsoft Purview, Unity Catalog, and Azure security best practices
• Create solution blueprints, high-level and low-level design documents, and target-state architecture diagrams
• Partner with sales teams on customer discovery calls to understand current data landscape, pain points, and business goals
• Lead technical solutioning for RFPs/RFIs, prepare architecture proposals, effort estimates, and delivery roadmaps
• Deliver architecture presentations, PoCs, and demos to technical and business stakeholders
• Support commercial teams with technical positioning of Azure Data & AI offerings against customer requirements
• Provide hands-on architectural oversight during implementation, ensuring adherence to design and Azure best practices
• Guide data engineering and data science teams on pipeline design, data modeling, MLOps, and deployment patterns
• Review code, pipelines, and infrastructure-as-code for architectural compliance, performance, and cost optimization
• Troubleshoot complex technical issues and provide escalation support during critical project phases
• Mentor engineers and consultants on Azure data platform and AI capabilities

Ideal Candidate

• Strong Azure Data & AI Architect Profile with pre-sales solutioning and hands-on delivery leadership
• Mandatory (Experience 1): Must have 10+ years overall, with 8+ years in Azure Data/AI architecture, and proven experience architecting and delivering large-scale data platforms on Microsoft Azure
• Mandatory (Experience 2 ): Must be able to design end-to-end Azure data architecture (ingestion, storage, transformation, governance, consumption), create reference architectures, and produce solution blueprints, HLD/LLD, and target-state diagrams.
• Mandatory (Experience 3): Must have pre-sales experience — customer discovery, technical solutioning for RFPs/RFIs, architecture proposals, effort/cost estimation, delivery roadmaps, and architecture presentations/PoCs/demos.
• Mandatory (Experience 4 ): Must have provided hands-on architectural oversight during delivery (Well-Architected Framework), guiding data engineering/science teams on pipeline design, data modeling, MLOps, and deployment, and reviewing code/pipelines/IaC for compliance, performance, and cost
• Mandatory (Experience 5 – Microsoft Partner): Must have prior experience in a Microsoft Partner organization, with direct involvement in achieving/maintaining the Data & AI (Azure) Solutions Partner designation, and hands-on contribution to passing the Microsoft Data & AI specialization audit (customer success references, skilling, performance evidence)
• Mandatory (Tech skill 1): Must have strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.
• Mandatory (Tech skill 2): Must have experience with Azure Machine Learning, Azure OpenAI Service, and building AI/ML or GenAI-powered solutions (Azure AI Foundry, Cognitive Services)
• Mandatory (Tech skill 3): Must have a solid understanding of ETL/ELT pipelines, data modeling (dimensional / data vault), and orchestration tools (Azure Data Factory, Synapse Pipelines).
• Mandatory (Tech skill 4): Must have familiarity with Microsoft Purview (or equivalent) for data governance, cataloging, and lineage, plus working knowledge of Azure security, networking, and identity (Entra ID, Private Link, Key Vault, RBAC)
• Mandatory (Tech skill 5): Must have hands-on scripting/programming in Python, SQL, and/or Spark, and IaC experience (Bicep, ARM templates, or Terraform) for provisioning Azure resources.
• Mandatory (Communication): Must have strong client-facing communication, able to present architecture to both technical and executive audiences.
• Preferred (Certifications): Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate, or DP-600 (Fabric Analytics Enginee
• Preferred (Other): Power BI semantic modeling/reporting; MLOps tools (MLflow, Azure ML pipelines, CI/CD for ML); consulting / SI / Microsoft-partner (Solutions Partner) environment experience

Pay: From ₹100,000.00 per month

Benefits:

• Paid sick time
• Paid time off

Application Question(s):

• Your Current CTC and Your Notice Period

Experience:

• Total: 10 years (Required)

Work Location: In person