Enterprise Data Architect

Job Description

411_2526870

Graduate or Post Graduate Degree in Computer Science, Computer Engineering, or any relevant field

Job Description

We are looking for anEnterprise Data Architect to join our team.

Responsibilities

• Architect and deliver enterprise solutions leveraging Azure Cloud services – including Azure Data Lake, Synapse Analytics, Azure ML, Cognitive Services, Logic Apps, Service Bus, and API Management
• Lead enterprise application integration projects – design and implement APIs, microservices, event-driven architectures, and secure messaging patterns for system interoperability
• Define data and AI architectures for advanced analytics, machine learning, and AI model deployment on Azure – ensuring scalability, security, and compliance
• Drive cloud migration of enterprise applications and data platforms – including assessment, re-platforming, and modernization strategies
• Establish integration and data governance frameworks ensuring data security, classification, lineage, and compliance with enterprise policies
• Collaborate with business leaders, IT stakeholders, and developers to align technical solutions with strategic objectives and digital transformation initiatives
• Provide solution leadership and detailed architecture documentation (HLD/LLD), ensuring adherence to best practices and performance benchmarks
• Guide DevOps adoption – enable CI/CD pipelines, Infrastructure as Code (Terraform/Bicep), and automated monitoring frameworks for deployed solutions

Key Skills Requirements

Additional Requirements

• 6 to 8 years of proven experience in solution or enterprise architecture roles
• Strong expertise in Azure Cloud, with working knowledge of AWS and GCP architectures
• Demonstrated experience in enterprise application integration, API lifecycle management, microservices, and event-driven architecture
• Deep understanding of data engineering, analytics, and AI/ML deployment pipelines across multiple clouds
• Hands-on experience with containerization and orchestration (Docker, Kubernetes, AKS, EKS, GKE)
• Familiarity with DevOps/MLOps practices and Infrastructure as Code (Terraform, Bicep, CloudFormation, Deployment Manager)
• Knowledge of cloud security, IAM (Azure AD, AWS IAM, Google IAM), compliance standards (GDPR, SOC2, ISO 27001)
• Strong communication and stakeholder management skills with ability to bridge business and technology

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2025-11-11 12:32:57