Job Description

Highlights

Experience

6-8 Years

Joining Date
Immediate or max 30 days' Notice Period


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

We are looking for an Enterprise 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

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

Perks: Careers at Beinex

Comprehensive Health Plans


Learning and development


Workation and outdoor training


Hybrid working environment


On-site travel Opportunity


Beinex Branded Merchandise