Solutions Architect

Overview

Job Summary

Key Responsibilities

• 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.

Required Qualifications

• 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.

• Azure Synapse Analytics

• Microsoft Fabric
• Azure Databricks

• ETL / ELT Pipeline Development

• SQL Development and Optimization
• Data Modeling

• CI/CD Pipeline Implementation

• Azure DevOps

• Enterprise Application Development

• Microservices Architecture
• Docker
• Kubernetes

• Distributed Systems Design

• Performance Optimization and Scalability Engineering