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 :

- 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.

Benefits :

- Competitive salary and performance-based bonuses.

- Flexible work arrangements, including remote options.

- Opportunities for professional development and certifications.

- Health, dental, and vision insurance.

- Collaborative and dynamic work environment.