Data & Platform Architecture (Azure)
Skills
About This Role
Overview
We are looking for an experienced and hands-on Solution Architect with strong expertise in Azure Data Engineering, enterprise platform architecture, and cloud-native solution design.
This role is ideal for professionals who have deep experience designing scalable Data & Analytics platforms on Microsoft Azure along with exposure to enterprise applications, microservices, and modern platform engineering.
Required
- 10+ years of experience in Software Engineering, Data Engineering, and Solution Architecture
- Strong experience in architecting enterprise-scale cloud and data platforms
- Hands-on expertise with Microsoft Azure ecosystem
Key Responsibilities
- Architect and design enterprise-grade Data & Analytics platforms on Azure
- Develop and optimize ETL/ELT pipelines using Azure Data Factory and related Azure services
- Define enterprise data integration, orchestration, and transformation strategies
- Design scalable cloud-native architectures for data processing and analytics workloads
- Build and maintain CI/CD pipelines for data and application deployments
- Define architecture standards, governance models, and DevOps best practices
- Collaborate with engineering teams for API and microservices integration
- Support enterprise modernization and platform transformation initiatives
- Ensure secure, scalable, and high-performance solution delivery
• Azure Data Lake
- Azure Synapse Analytics / Microsoft Fabric / Databricks
• CI/CD Pipeline Implementation
- Azure DevOps
Preferred / Good to Have
- Enterprise Application Development experience
- Microservices Architecture
- API-driven platforms
- Backend engineering frameworks
- Frontend architecture exposure
• Docker / Kubernetes
- Experience building scalable enterprise or SaaS platforms
Preferred Candidate Profile
- Strong architectural and analytical mindset
- Hands-on technical leadership experience
- Experience in enterprise digital transformation initiatives
- Excellent stakeholder communication and presentation skills
- Ability to work across Data Engineering and Platform Engineering domains
- Interested candidates can share their updated CVs or connect directly via LinkedIn.
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