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Job Summary: The Software Architect will be responsible for analysing, designing, and implementing a scalable and high-performance database solution. The ideal candidate should have extensive experience with SQL Server, performance tuning, and designing scalable database architectures that support microservices-based applications and AI-driven systems.
Key Responsibilities:
Assess the current SQL Server database architecture and identify areas for improvement in scalability, performance, and maintainability.
Design and implement a new high-performance, future-ready database architecture to support a 5M daily transaction load and integration with microservices and AI-driven systems.
Develop and implement a comprehensive archival strategy for cold, warm, and hot data storage to efficiently manage a large-scale system of 100TB.
Work closely with application developers to ensure database design aligns with the microservices architecture.
Optimize database performance by identifying and resolving bottlenecks, indexing strategies, and query tuning.
Develop and implement best practices for database design, partitioning, indexing, and data archiving.
Ensure high availability and disaster recovery strategies with near-zero RPO and RTO, considering the multi-agency information handled by the system.
Collaborate with DevOps teams to automate deployment, backup, and monitoring processes.
Implement data security measures and ensure compliance with industry standards.
Provide technical guidance and mentorship to the development and operations teams.
Stay up-to-date with the latest SQL Server technologies and industry trends.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
8 years of experience in SQL Server database design, development, and administration.
Proven experience in redesigning and implementing large-scale, high-performance SQL Server databases, with the ability to contribute from day one.
Strong understanding of database scalability techniques such as sharding, partitioning, and indexing.
Experience in handling large-volume databases (100TB ) and implementing efficient archival strategies.
Proficiency in performance tuning, query optimization, and troubleshooting database issues.
Experience with self-hosted SQL Server databases on virtual machines (VMs).
Hands-on experience with database migration, backup, and recovery processes.
Familiarity with data modeling techniques and tools such as ERwin or PowerDesigner.
Strong knowledge of T-SQL, stored procedures, and triggers.
Experience with microservices architecture and integrating databases within distributed systems.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Strong communication and collaboration skills.
Preferred Qualifications:
Tolling Experience is strong plus
Any relevant SQL Server certification is preferred.
Experience with NoSQL databases and hybrid database solutions.
Knowledge of AI-driven database optimization and predictive analytics.
Knowledge of ETL processes and data warehousing concepts.
Job Summary: The Software Architect will be responsible for analysing, designing, and implementing a scalable and high-performance database solution. The ideal candidate should have extensive experience with SQL Server, performance tuning, and designing scalable database architectures that support microservices-based applications and AI-driven systems.
Key Responsibilities:
Assess the current SQL Server database architecture and identify areas for improvement in scalability, performance, and maintainability.
Design and implement a new high-performance, future-ready database architecture to support a 5M daily transaction load and integration with microservices and AI-driven systems.
Develop and implement a comprehensive archival strategy for cold, warm, and hot data storage to efficiently manage a large-scale system of 100TB.
Work closely with application developers to ensure database design aligns with the microservices architecture.
Optimize database performance by identifying and resolving bottlenecks, indexing strategies, and query tuning.
Develop and implement best practices for database design, partitioning, indexing, and data archiving.
Ensure high availability and disaster recovery strategies with near-zero RPO and RTO, considering the multi-agency information handled by the system.
Collaborate with DevOps teams to automate deployment, backup, and monitoring processes.
Implement data security measures and ensure compliance with industry standards.
Provide technical guidance and mentorship to the development and operations teams.
Stay up-to-date with the latest SQL Server technologies and industry trends.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
8 years of experience in SQL Server database design, development, and administration.
Proven experience in redesigning and implementing large-scale, high-performance SQL Server databases, with the ability to contribute from day one.
Strong understanding of database scalability techniques such as sharding, partitioning, and indexing.
Experience in handling large-volume databases (100TB ) and implementing efficient archival strategies.
Proficiency in performance tuning, query optimization, and troubleshooting database issues.
Experience with self-hosted SQL Server databases on virtual machines (VMs).
Hands-on experience with database migration, backup, and recovery processes.
Familiarity with data modeling techniques and tools such as ERwin or PowerDesigner.
Strong knowledge of T-SQL, stored procedures, and triggers.
Experience with microservices architecture and integrating databases within distributed systems.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Strong communication and collaboration skills.
Preferred Qualifications:
Tolling Experience is strong plus
Any relevant SQL Server certification is preferred.
Experience with NoSQL databases and hybrid database solutions.
Knowledge of AI-driven database optimization and predictive analytics.
Knowledge of ETL processes and data warehousing concepts.