Work arrangement: Remote (India) Location: Gurugram (company base)
About the Role
This is a key role for an experienced Azure Architect specializing in Data & AI. You will design end-to-end data architectures on Azure, architect advanced AI/ML and generative AI solutions, and provide hands-on architectural oversight throughout implementation. The role spans pre-sales solutioning, architecture design, and technical leadership during delivery. You will partner with sales teams, lead technical solutioning for RFPs/RFIs, and mentor engineering teams. You will report to the Practice Lead or Head of Data & AI.
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 customers’ data landscapes, pain points, and business goals.
Lead technical solutioning for RFPs/RFIs and prepare architecture proposals, effort estimates, and delivery roadmaps.
Deliver architecture presentations, proofs of concept (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 the 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 Profile
We are looking for a strong Azure Data & AI Architect with a blend of pre-sales solutioning and hands-on delivery leadership.
Experience: 10+ years of overall experience, including 8+ years specifically in Azure Data/AI architecture, and proven experience architecting and delivering large-scale data platforms on Microsoft Azure.
Architecture design: Ability to design end-to-end Azure data architecture (ingestion, storage, transformation, governance, and consumption), create reference architectures, and produce solution blueprints, HLD/LLD, and target-state diagrams.
Pre-sales: Demonstrated pre-sales experience, including customer discovery, technical solutioning for RFPs/RFIs, architecture proposals, effort and cost estimation, delivery roadmaps, and architecture presentations, PoCs, and demos.
Delivery oversight: Proven experience providing hands-on architectural oversight during delivery (Well-Architected Framework), guiding data engineering and data science teams on pipeline design, data modeling, MLOps, and deployment, and reviewing code, pipelines, and IaC for compliance, performance, and cost.
Microsoft partner experience: Prior experience in a Microsoft Partner organization, with direct involvement in achieving or maintaining the Data & AI (Azure) Solutions Partner designation and hands-on contribution to passing the Microsoft Data & AI specialization audit.
Technical skills:
Strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.
Experience with Azure Machine Learning and Azure OpenAI Service, and building AI/ML or generative AI-powered solutions (Azure AI Foundry, Cognitive Services).
Solid understanding of ETL/ELT pipelines, data modeling (dimensional/data vault), and orchestration tools (Azure Data Factory, Synapse Pipelines).
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).
Hands-on scripting/programming experience in Python, SQL, and/or Spark, and infrastructure-as-code experience (Bicep, ARM templates, or Terraform) for provisioning Azure resources.
Communication: Strong client-facing communication skills and the ability to present architecture to both technical and executive audiences.
Preferred Qualifications
Certifications: Azure Solutions Architect Expert, Azure Data Engineer Associate, Azure AI Engineer Associate, or DP-600 (Fabric Analytics Engineer).
Other: Experience with Power BI semantic modeling/reporting; MLOps tools (MLflow, Azure ML pipelines, CI/CD for ML); and consulting, SI, or Microsoft Partner (Solutions Partner) environments.
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