Noida, Uttar Pradesh
Job Summary
Azure Data Architect – Data, AI/ML & Generative AI
About the Role
We are seeking a highly experienced Azure Data Architect to lead the design, implementation, and modernization of enterprise-scale Data & AI platforms on Microsoft Azure. This role will be responsible for defining the data strategy, architecture roadmap, governance framework, and AI/ML capabilities that enable data-driven decision-making across the organization.
The ideal candidate combines strong expertise in Azure Data Services, Databricks, Microsoft Fabric, AI/ML, Generative AI, MLOps, Data Governance, and Enterprise Architecture while partnering with business and technology leaders to deliver scalable, secure, and future-ready solutions.
Key Responsibilities
Key Responsibilities
Data & Cloud Architecture
Define enterprise data architecture strategy, standards, and best practices.
Design modern Data Lakehouse, Data Warehouse, and Real-Time Analytics platforms on Azure.
Architect scalable data solutions supporting analytics, reporting, machine learning, and AI workloads.
Lead cloud migration and data modernization initiatives from legacy and on-prem platforms.
Drive architecture governance, design reviews, and technology roadmaps.
Data Engineering & Analytics
Design and optimize batch and real-time data pipelines using Azure services.
Establish scalable ETL/ELT frameworks and data integration patterns.
Build enterprise data models, domain-driven data products, and self-service analytics platforms.
Improve performance, reliability, scalability, and cost optimization of data platforms.
AI, Machine Learning & Generative AI
Architect AI/ML platforms leveraging Azure Machine Learning, Azure AI Foundry, and Azure OpenAI.
Design and implement end-to-end MLOps frameworks for model development, deployment, monitoring, and lifecycle management.
Develop Generative AI use cases including:
AI Assistants & Copilots
RAG (Retrieval Augmented Generation)
Enterprise Knowledge Search
Conversational AI
Intelligent Document Processing
AI Agents
Collaborate with Data Scientists and AI Engineers to operationalize AI solutions at scale.
Data Governance & Security
Establish enterprise data governance, metadata management, lineage, and data quality frameworks using Microsoft Purview.
Define security architecture, access controls, encryption, compliance, and regulatory standards.
Ensure adherence to enterprise security, privacy, and Responsible AI principles.
Leadership & Stakeholder Management
Act as a trusted advisor to business and technology leadership.
Lead solution architecture workshops and executive presentations.
Mentor architects, data engineers, and technical teams.
Support strategic initiatives, innovation programs, and pre-sales engagements
Skill Requirements
Required Technical Skills
Azure Data Platform
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage Gen2
Azure SQL Database
Event Hub
Stream Analytics
Microsoft Fabric / OneLake
Power BI
AI & Machine Learning
Azure Machine Learning
Azure AI Foundry
Azure OpenAI Service
GPT/LLM Technologies
RAG Architecture
AI Agents and Copilot Solutions
Vector Databases & Semantic Search
MLOps & MLflow
Programming & Data Engineering
Python
PySpark
SQL
Spark Framework
DevOps & Cloud Engineering
Azure DevOps
GitHub Actions
Terraform/Bicep
Docker
Kubernetes (AKS)
CI/CD Automation
Governance & Security
Microsoft Purview
RBAC
Managed Identity
Key Vault
Data Encryption
Enterprise Security & Compliance Frameworks
Other Requirements
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
10+ years of experience in Data Engineering, Analytics, or Data Architecture.
5+ years of hands-on experience designing and delivering Azure-based data solutions.
Proven experience building enterprise-scale Data Lakes, Lakehouses, and Analytics platforms.
Strong expertise in AI/ML, MLOps, and Generative AI implementations.
Experience leading architecture teams and engaging with executive stakeholders.
Preferred Certifications
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Microsoft Fabric Analytics Engineer Associate
Databricks Certification
TOGAF or Enterprise Architecture Certification
What Success Looks Like
Delivery of scalable, secure, and cost-efficient Azure Data & AI platforms.
Successful implementation of AI/ML and Generative AI capabilities.
Improved data governance, quality, and compliance.
Accelerated insights and business decision-making through modern analytics.
Establishment of enterprise-wide Data & AI architecture standards.
Keywords
Azure Data Architect, Microsoft Fabric, Databricks, Synapse Analytics, Azure OpenAI, Azure AI Foundry, Azure ML, GenAI, GPT, RAG, AI Agents, MLOps, Data Lakehouse, OneLake, Purview, Power BI, Enterprise Data Architecture, Cloud Transformation, Data Governance, AI Platform Architect.
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