Solutions Architect

Job Description

Contract Duration: 6 Months (Extendable)

Job Summary

The role requires a combination of strategic architecture experience and hands-on technical expertise in Azure data services, data integration, analytics platforms, and DevOps practices.

• Design and implement scalable, secure, and high-performance data platforms on Microsoft Azure.
• Define and maintain enterprise data architecture standards, frameworks, and best practices.
• Architect end-to-end data solutions including data ingestion, storage, transformation, and analytics.
• Lead the design and implementation of ETL/ELT pipelines using Azure-native technologies.
• Develop data integration strategies and ensure seamless connectivity across enterprise systems.
• Design and optimize data lakes, data warehouses, and modern analytics platforms.
• Collaborate with business stakeholders, technical teams, and project managers to translate business requirements into technical solutions.
• Establish and implement CI/CD pipelines to support automated deployment and platform governance.
• Design API integration architectures and ensure interoperability between applications and data platforms.
• Provide technical leadership, architecture governance, and mentoring to development and data engineering teams.
• Ensure platform reliability, scalability, security, and compliance with organizational standards.
• Evaluate emerging cloud and data technologies and recommend suitable solutions for business needs.
• Prepare and maintain architecture documentation, solution blueprints, and technical design specifications.

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 10+ years of experience in Software Engineering, Data Engineering, and Solution Architecture.
• Proven experience designing and delivering enterprise-scale cloud and data platform solutions.
• Strong hands-on experience with the Microsoft Azure data ecosystem.
• Experience in designing and implementing data integration and analytics solutions.
• Strong understanding of data architecture principles, data modeling, and database design.
• Experience implementing DevOps practices and CI/CD pipelines.
• Excellent analytical, communication, and stakeholder management skills.
• Ability to lead cross-functional teams and drive architecture decisions.

• Microsoft Azure Cloud
• Azure Data Factory (ADF)
• Azure Data Lake
• Azure Synapse Analytics
• Microsoft Fabric
• Azure Databricks
• ETL / ELT Pipeline Development
• SQL Development and Optimization
• Data Modeling
• Data Integration Architecture
• Enterprise Data Architecture
• CI/CD Pipeline Implementation
• Azure DevOps
• API Integration Architecture

• Enterprise Application Development
• Microservices Architecture
• Docker
• Kubernetes
• Backend Engineering Frameworks
• Enterprise Platform Design
• SaaS Platform Architecture
• Cloud-Native Application Development
• Distributed Systems Design
• Performance Optimization and Scalability Engineering