Senior Cloud Data Architect

4 days ago


thoothukudi, India beBeeData Full time

Cloud Solution Architect - Azure ExpertWe are seeking an accomplished Cloud Solution and Data Architect specializing in designing secure, scalable, and robust data architectures for mission-critical public-facing transactional websites and business SaaS applications on Microsoft Azure.We need a professional with expertise in designing end-to-end data and solution architectures for Azure-based applications, emphasizing security, scalability, and performance.The ideal candidate will develop comprehensive data modeling strategies, ensuring high-quality, well-documented, and easily maintainable data structures.You will collaborate with cross-functional teams to define and enforce data governance, security standards, and architectural best practices.Lead cloud migration and modernization initiatives, ensuring seamless transition and minimal disruption to business operations.Design and optimize ETL/ELT pipelines using Azure-native tools to meet evolving business needs.Implement and maintain security strategies including data encryption, access controls, and compliance with data protection regulations.Mentor and guide data engineers and analysts in data architecture, security protocols, and scalable solution design.Architect a Graph API framework enabling front-end interactions with the backend data.Key Responsibilities:Develop data architecture and design diagrams, capacity models, and dependencies.Collaborate with product engineering and test teams to define clear, measurable benchmarks for scalability, performance, and capacity.Guide, mentor, and enforce architecture principles, development standards, and best practices across design, development, and testing.Formalize architecture design reviews and checkpoints before development and release approvals.Align architecture KPIs with delivery outcomes to ensure stability, high performance, and maintainability.Take ownership of root-cause analysis for any production or customer-impacting incidents.Requirements:Design systems to support concurrent and parallel processing for databases.Implement effective logging and telemetry strategies.Define caching approaches.SaaS model design and implementation.Scalability and performance optimization.



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