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Cloud Solution Architect - Data & AI

Microsoft· Cloud Solution Architecture
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Hybrid (Hong Kong), Hong Kongfull-timePosted 1w ago

About the role

Experienced Data & AI Solution Architect with deep database expertise to design, modernise, optimise and operate highly available, secure and resilient database platforms on Microsoft Azure for strategic enterprise customers.

Responsibilities

  • Lead architecture and technical engagements for mission-critical database workloads across Azure SQL Database, Azure SQL Managed Instance and SQL Server on Azure VMs.
  • Assess existing customer database estates and develop migration, modernisation and optimisation strategies.
  • Provide deep technical guidance on database performance tuning, including query performance, indexing, execution plans, resource utilisation, configuration and workload optimisation.
  • Diagnose complex production database performance and reliability issues and provide actionable recommendations.
  • Advise customers on database and cluster architecture, configuration, scaling, capacity planning and operational best practices.
  • Design high availability and disaster recovery architectures aligned with customer business continuity requirements.
  • Review and optimise database environments for performance, reliability, security and cost.
  • Support customers with SQL Server and Azure SQL migrations, upgrades and platform modernisation.
  • Provide technical leadership for database resiliency, backup, recovery, failover and business-critical workload scenarios.
  • Evaluate workload requirements and recommend the appropriate Azure database deployment model.
  • Provide architectural guidance across other Azure database technologies, including Azure Database for PostgreSQL, Azure Database for MySQL and Azure Cosmos DB, where required.
  • Lead technical workshops, architecture reviews, health assessments and troubleshooting sessions with customer database, infrastructure and application teams.
  • Work across customer application and infrastructure architectures to identify upstream or downstream dependencies affecting database performance.
  • Partner with Microsoft engineering, support and specialist teams to resolve complex customer database challenges.
  • Help customers establish an AI-ready operational data foundation, connecting modern database platforms with emerging AI use cases where relevant.

Qualifications

  • Deep hands-on experience with Microsoft SQL Server and Azure SQL technologies.
  • Strong expertise in database architecture, administration, optimisation and troubleshooting.
  • Proven experience with SQL performance tuning, including query optimisation, indexing strategies, execution-plan analysis and resource bottleneck investigation.
  • Experience diagnosing CPU, memory, I/O, locking, blocking, concurrency and database performance issues.
  • Strong understanding of database configuration, workload management, scaling and capacity planning.
  • Experience managing and optimising highly available or clustered database environments.
  • Strong knowledge of high availability, disaster recovery, backup/recovery and failover architectures.
  • Hands-on experience with SQL Server migration and modernisation to Azure.
  • Strong understanding of Azure SQL Database, Azure SQL Managed Instance and SQL Server on Azure VMs and the architectural considerations for choosing between them.
  • Understanding of database security, identity, networking, encryption, monitoring and operational controls.

Skills

Required:Microsoft SQL ServerAzure SQL DatabaseAzure SQL Managed InstanceSQL Server on Azure VMsPerformance tuningHigh availability & DRMigration & modernisationSecurity & compliance
Nice to have:Cross-database guidance
Last updated Oct 16, 2026. Interested? Apply on the company site.

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