About the Role

We are seeking an experienced Band E/F Azure Architect to lead the design, development, and governance of our cloud ecosystem. The ideal candidate will have strong expertise across Azure architecture, data engineering, data science enablement, security, and enterprise integrations. This role partners closely with engineering, product, and business teams to deliver scalable, secure, and future‑ready cloud solutions.

Key Responsibilities

1. Azure Cloud Architecture

· Design highly available, scalable, and cost‑optimized solutions using Azure services (Compute, Storage, Networking, App Services, AKS, Event Hub, API Management).

· Lead architecture reviews, cloud adoption frameworks, and best‑practice implementations.

· Define reference architectures, patterns, and guardrails for development teams.

2. Data Engineering & Analytics

· Architect end‑to‑end data pipelines using Azure Data Factory, Synapse, Delta Lake, Databricks, ADLS Gen2, and Event Streaming solutions.

· Establish data ingestion, transformation, and governance frameworks.

· Optimize data models for analytics, machine learning workloads, and enterprise insights.

· Collaborate with Data Scientists to operationalize ML models using MLOps (Azure ML, Model Registry, CI/CD pipelines).

3. Data Science & AI Enablement

· Enable scalable training, deployment, and monitoring of ML/AI workloads.

· Evaluate and integrate Azure AI services (OpenAI, Cognitive Services, search vectors, embedding pipelines).

· Define best practices for feature engineering, model lifecycle management, and ML observability.

4. Security, Compliance & Governance

· Implement Zero‑Trust architecture and industry standards for identity, access, encryption, and network security.

· Establish governance via Azure Policy, Blueprints, Defender for Cloud, RBAC, and resource hygiene.





· Lead security assessments, threat modeling, and compliance auditing (SOC2, ISO, HIPAA, etc.).

5. Integrations & API Ecosystem

· Architect enterprise integrations using Azure Integration Services (API Management, Service Bus, Logic Apps, Event Grid).

· Oversee API standards, versioning, gateway policies, and enterprise messaging frameworks.

· Ensure reliable async and real‑time integrations across internal/external systems.

6. DevOps & Automation

· Drive Infrastructure‑as‑Code (Terraform/Bicep), CI/CD (GitHub Actions, Azure DevOps), and automated deployments.

· Optimize cost, performance, observability, and operational resilience (Azure Monitor, Log Analytics, App Insights).

7. Stakeholder Leadership

· Serve as a technical advisor to business and product teams.

· Conduct architecture workshops, capability roadmaps, and cloud modernization strategies.

· Mentor engineering teams and cultivate cloud engineering excellence.

Required Skills & Experience

Technical Expertise

· 8–15+ years of experience in cloud, data, or application architecture roles.

· Solid hands‑on experience with Azure services across compute, data, network, security, and integration domains.

· Expertise in:

o Data Engineering: Data Factory, Synapse, Databricks, Lakehouse, streaming pipelines o Data Science: Azure ML, model deployment, MLOps o Security: IAM, Azure AD, Defender, Network Security, Policies o Integrations: API Management, Service Bus, Logic Apps o DevOps: Bicep, Terraform, YAML pipelines, GitOps

· Solid understanding of distributed systems, microservices, event‑driven architectures.

Soft Skills

· Strong architecture documentation and communication skills.

· Ability to translate business needs into scalable technical designs.

· Experience influencing CXO‑level stakeholders.

· Problem‑solving mindset with end‑to‑end ownership.

📌 Data and AI Architect - Azure (Hyderabad)
🏢 Cyient
📍 Hyderabad