Enterprise Data Architect at Beinex

Abu Dhabi, , United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

29 Aug, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Docker, Enterprise, Infrastructure, Aws, Iso, Kubernetes, Cloud Security, Code, Management Skills, Orchestration, Microservices, Analytics, Containerization, Technology, Data Engineering

Industry

Information Technology/IT

Description

JOB DESCRIPTION

We are looking for an Enterprise Data Architect to join our team.

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

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