Cloud Solutions Architect

16 hours ago

Kolhapur, India beBeeSolution Full time

About the RoleAs a seasoned Solution Architect, you will be responsible for crafting innovative data architectures that support mission-critical public facing transactional websites and data processing focused business SaaS applications on Microsoft Azure.Key Responsibilities:Design and implement end-to-end data and solution architectures for Azure-based applications, with a strong emphasis on security, scalability, and performance.Develop comprehensive data modeling strategies, ensuring high-quality, well-documented, and easily maintainable data structures.Collaborate with engineering, analytics, and business teams to define and enforce data governance, security standards, and architectural best practices.Architect and optimize ETL/ELT pipelines using Azure-native tools (e.g., Azure Data Factory, Databricks, Synapse Analytics) to meet the evolving needs of the organization.Implement and maintain security strategies including data encryption, access controls, and compliance with data protection regulations (e.g., GDPR).Lead cloud migration and modernization initiatives, ensuring seamless transition and minimal disruption to business operations.Drive best practices in data management, metadata, and data lineage within Azure environments, fostering continuous improvement and innovation.Mentor and guide data engineers and analysts in data architecture, security protocols, and scalable solution design.Design an orchestration layer enabling a Graph API framework enabling front to interact with the backend data.Develop and document the end-to-end product architecture, including diagrams, capacity models, and dependencies.The architect must work closely with the product engineering and test teams to define clear, measurable benchmarks for scalability, performance, and capacity, and validate them through rigorous testing to ensure the system reliably meets expected and peak demands.They 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 the system achieves stability, high performance, and maintainability. Regularly measure and track these KPIs to drive continuous improvement and accountability.Take ownership of root-cause analysis for any production or customer-impacting incidents. Drive long-term remediation to prevent recurrence and improve system reliability.Embed the architect throughout the delivery lifecycle as an active part of the sprint process – they should attend planning, demos, daily standups, and other sprint ceremonies, review outcomes, and structure their work in DevOps.Current focus areas include designing systems to support concurrent and parallel processing for databases, implementing effective logging and telemetry strategies, and defining caching approaches. Additionally, emphasis is on SaaS model design and implementation, as well as scalability and performance optimization.

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