• Architect, design, and implement cloud-native database solutions across relational, NoSQL, and vector database technologies. • Lead database strategy and standards to support AI/ML and LLM workloads, including embeddings, semantic search, and retrieval-augmented generation (RAG). • Design and optimize data models, schemas, indexing strategies, and storage patterns for performance and scalability. • Build and manage vector databases to support similarity search, recommendations, and AI inference pipelines. • Collaborate with AI/ML engineers, application developers, and platform teams to integrate databases into end-to-end systems. • Ensure high availability, disaster recovery, security, and compliance across all database platforms. • Optimize cost, performance, and reliability in cloud environments. • Implement monitoring, alerting, backup, and automation for database operations. • Provide technical leadership, documentation, and best-practice guidance to engineering teams. • Evaluate and recommend new database technologies and cloud services as requirements evolve.

• Provide database support for upgrades, assessments, and migrations • Offer expert advice to stakeholders on all aspects of database management • Perform troubleshooting and resolution of database-related issues • Conduct daily monitoring of the database estate • Implement and enforce SQL Server security best practices • Manage new database builds, upgrades, and server migrations • Perform database backups and restores as required • Install service packs, cumulative updates, and patches • Monitor and maintain storage resources and database maintenance plans

• Provide leadership for the architecture, security, and performance of enterprise-wide database environments within our SaaS-based ecosystem. • Focus on designing high-availability systems, executing complex disaster recovery (DR) strategies, and managing data replication and retention to support critical business operations. • Ensure data consistency across distributed SaaS environments and hybrid-cloud infrastructures. • Design and implement end-to-end Disaster Recovery (DR) strategies, ensuring compliance with Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). • Participate in regular DR exercises, automated failover testing, and demonstration of no-outage resiliency. • Establish and enforce automated data retention, archiving, and purging policies aligned with industry compliancy. • Implement and support security measures, including transparent data encryption (TDE), role-based security, and unified auditing. • Lead proactive performance tuning, query optimization, and capacity management for high-volume, transactional SaaS workloads. • Monitor and analyze advanced performance metrics to identify and resolve resource contention. • Serve as a technical advisor for database modernization roadmaps, transitioning legacy systems to cloud-native or containerized architectures. • Develop standards for database schema design, storage structures, and automated deployment pipelines (CI/CD). • Manage a global team of database operators to ensure 24/7 system availability. • Establish Standard Operating Procedures for the database operations team, covering routine maintenance, patching, and ticket escalation paths. • Build and promote an "Operations-as-Code" model, mentoring the team in using tools like Terraform, Ansible, and utilizing CI/CD pipelines to automate repetitive tasks. • Conduct regular technical reviews and provide career development guidance to junior database operators.

• Own the design, maintenance, and ongoing improvement of NMI’s MySQL database estate, including restructuring database resources to meet performance, redundancy, and reliability goals • Maintain and administer Microsoft SQL Server environments (prior experience not required; willingness to learn is essential) • Manages and monitors all databases across multiple platforms • Contribute to the design and evolution of database architecture • Participate in an on-call rotation for database related incidents • Test, document and continuously improve database performance across the enterprise • Perform incident root cause analysis, identify preventative measures, and participate in blameless post-incident reviews • Collaborate with developers to resolve performance issues and support database-related enhancements • Communicate effectively with technical and non-technical stakeholders across the company