Azure Data And AI Architect

🚀 WE ARE HIRING | Azure Data & AI Architect
📍 Location: Gurugram
🏠 Working Model: Remote
💼 Experience: 10+ Years
🎯 Role: Azure Data & AI Architect – Pre-Sales & Delivery Leadership
💼 Employment Type: Full-Time
About the Role
We are looking for a strong Azure Data & AI Architect with a combination of enterprise architecture, pre-sales solutioning, and hands-on delivery leadership.
The ideal candidate will have deep expertise in designing and delivering large-scale Data & AI platforms on Microsoft Azure, along with strong client-facing capabilities and experience working within a Microsoft Partner organization.
You will play a key role across the complete solution lifecycle — from customer discovery and RFP/RFI solutioning to architecture design, PoCs, estimation, delivery governance, and technical leadership.
🔑 Key Responsibilities
Azure Data & AI Architecture
Design end-to-end Azure data architectures covering ingestion, storage, transformation, governance, security, and consumption.
Develop reference architectures, solution blueprints, HLD/LLD, target-state architectures, and technical diagrams.
Architect scalable, secure, highly available, and cost-optimized data and AI platforms on Microsoft Azure.
Apply Azure Well-Architected Framework principles across solution design and implementation.
Pre-Sales & Consulting
Lead technical discovery sessions with customers and translate business requirements into technical solutions.
Provide architecture and solution inputs for RFPs, RFIs, proposals, and bids.
Develop solution approaches, architecture proposals, effort/cost estimates, implementation plans, and delivery roadmaps.
Conduct architecture presentations, technical workshops, PoCs, and customer demos.
Collaborate with sales, delivery, engineering, and business stakeholders to develop winning solutions.
Delivery & Architectural Leadership
Provide hands-on architectural oversight throughout implementation and delivery.
Guide Data Engineering, Data Science, and AI/ML teams on pipeline architecture, data modeling, MLOps, deployment, and engineering best practices.
Review code, data pipelines, infrastructure, and IaC for security, compliance, performance, scalability, and cost optimization.
Identify architectural risks and provide technical direction to delivery teams.
☁️ Azure Data & Analytics Technologies
Strong expertise in several of the following:
Azure Data Lake Storage (ADLS)
Azure Synapse Analytics
Microsoft Fabric
Azure Databricks
Azure Data Factory / Synapse Pipelines
ETL/ELT architecture and data pipeline design
Dimensional Modeling / Data Vault
Microsoft Purview or equivalent data governance platforms
Power BI semantic modeling and reporting
🤖 AI / ML / GenAI
Experience with:
Azure Machine Learning
Azure OpenAI Service
Azure AI Foundry
Azure Cognitive Services
AI/ML and Generative AI solution architecture
MLOps, including MLflow, Azure ML Pipelines, and CI/CD for ML
🔐 Azure Security & Infrastructure
Working knowledge of:
Microsoft Entra ID
Azure RBAC
Azure Key Vault
Azure Private Link
Azure networking and security architecture
Infrastructure as Code using Terraform, Bicep, or ARM Templates
💻 Programming & Engineering
Hands-on experience with:
Python
SQL
Spark / PySpark
Data engineering frameworks and distributed data processing
⭐ MANDATORY EXPERIENCE
Candidates must meet the following criteria:
10+ years of overall IT experience, including 8+ years in Azure Data & AI Architecture.
Proven experience architecting and delivering large-scale data platforms on Microsoft Azure.
Strong experience designing end-to-end Azure data architecture, including ingestion, storage, transformation, governance, and consumption.
Proven pre-sales experience, including customer discovery, RFP/RFI solutioning, architecture proposals, effort/cost estimation, roadmaps, presentations, PoCs, and demos.
Hands-on architectural oversight during delivery, including code, pipeline, and IaC reviews.
Strong understanding and application of the Azure Well-Architected Framework.
Prior experience in a Microsoft Partner organization is mandatory.
Direct involvement in achieving or maintaining the Microsoft Solutions Partner designation for Data & AI (Azure).
Hands-on contribution toward Microsoft Data & AI specialization audit requirements, including customer success references, skilling, performance evidence, and related partner requirements.
Excellent client-facing communication and presentation skills, with the ability to communicate with both technical and executive audiences.
🎓 Preferred Qualifications
Certifications:
Azure Solutions Architect Expert
Azure Data Engineer Associate
Azure AI Engineer Associate
DP-600 – Microsoft Fabric Analytics Engineer
Additional Experience:
Power BI semantic modeling/reporting
MLOps and ML lifecycle management
MLflow / Azure ML Pipelines
CI/CD for ML and Data platforms
Consulting / System Integrator (SI) experience
Microsoft Partner / Solutions Partner environment
👤 Ideal Candidate
We are looking for an architect who can think strategically, design technically robust solutions, engage confidently with customers, and provide hands-on technical leadership during delivery.
The ideal candidate should be able to bridge the gap between business requirements, pre-sales, enterprise architecture, and engineering execution.
📍 Location: Gurugram
🏠 Working Model: Remote
💼 Experience: 10+ Years

Work arrangement
No