RQ11159 - Database Administrator - Senior

Must have:

· 7–10+ years of experience in Database Administration, including design, implementation, operations, and optimization of enterprise‑scale database systems.

· Proven expertise administering cloud database platforms, with a strong focus on Azure PaaS and IaaS database services.

· Experience managing cloud data services for project delivery, including storage, repositories, virtual machines, disks, key vaults, Data Lake, Data Warehouse, and Data Lakehouse platforms

· Expertise in Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines.

· Advanced performance tuning and troubleshooting, including:

• Query optimization and indexing strategies
• Azure SQL Query Store analysis
• Intelligent Performance & automatic tuning features
• Review of wait statistics and IO analysis
• TempDB optimization
• Understanding and mitigating Azure throttling limits

Experience and Skill Set Requirements

Core Skills and Experience

· 7–10+ years of experience in Database Administration, including design, implementation, operations, and optimization of enterprise‑scale database systems.

· Proven expertise administering cloud database platforms, with a strong focus on Azure PaaS and IaaS database services.

· Extensive experience creating logical and physical database designs, including schema optimization for OLTP and analytical workloads.

· Demonstrated experience in database performance tuning, capacity planning, growth forecasting, and lifecycle management.

· Hands‑on experience in database installation, configuration, migration, and upgrades, including modernization from legacy platforms to cloud environments.

· Proven ability to design and support high availability (HA) and disaster recovery (DR) strategies for mission‑critical systems.

· Experience managing cloud data services for project delivery, including storage, repositories, virtual machines, disks, key vaults, Data Lake, Data Warehouse, and Data Lakehouse platforms.

· Experience supporting structured, semi‑structured, and unstructured data ingestion, exchange, and provisioning for enterprise data warehouse and lakehouse solutions.

· Demonstrated application of DataOPS principles, including monitoring, alerting, performance optimization, and operational tuning across environments.

· Strong background in incident, change, and configuration management within ITIL‑aligned or governed public‑sector environments.

40%

Technical & Engineering Skills

• Expertise in Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines.

· Expertise in Azure Storage, Azure Data Lake, Databricks Lakehouse,