Azure Data Architect

• We are seeking an experienced 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 futureready cloud solutions.

Key Responsibilities

1. Azure Cloud Architecture

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

Lead architecture reviews, cloud adoption frameworks, and bestpractice implementations.

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

2. Data Engineering & Analytics

Architect endtoend 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 ZeroTrust 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 realtime integrations across internal/external systems.

6. DevOps & Automation

Drive InfrastructureasCode (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.

Strong handson 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, eventdriven architectures.

Soft Skills

Strong architecture documentation and communication skills.

Ability to translate business needs into scalable technical designs.

Experience influencing CXOlevel stakeholders.

Problemsolving mindset with endtoend ownership.