Job Description

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, Azure Data Factory

• Experience with relational and distributed database systems; exposure to NoSQL or distributed data platforms is an asset.
• Knowledge of cloud networking concepts, including VNET integration, private endpoints, firewalls, and communication protocols.
• Expertise in logical and physical data modeling, including normalization, denormalization, and partitioning strategies.
• Experience designing multi‑tenant database architectures.
• 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
• Expertise designing data tiers that balance performance, scalability, and cost.
• Expertise implementing Azure authentication and authorization, including Azure AD integration and role‑based access control (RBAC).
• Strong experience with data protection and encryption, including Transparent Data Encryption (TDE) and key management.
• Experience reviewing and enforcing network security, firewall rules, and access controls.
• Proven experience ensuring compliance with audit standards, data classification standards, and regulatory requirements (e.g., PHIPPA).
• Experience researching and implementing cybersecurity vulnerability remediation in database environments.

· Exceptional analytical, problem‑solving, and decision‑making abilities.

· Strong verbal, written, and presentation skills, with the ability to explain complex technical concepts clearly to both technical and non‑technical stakeholders.

· Proven interpersonal and negotiation skills, with experience collaborating across infrastructure, security, application, and data teams.

· Strong organizational skills with the ability to manage multiple priorities and meet fixed deadlines.

· Demonstrated ability to function as a senior technical resource, providing guidance, mentoring, and operational leadership.

· A collaborative team player with a track record of successful project delivery in regulated environments

30%

General Skills

• Exceptional analytical, problem-solving, and decision-making abilities.
• Strong verbal and written communication skills, with the ability to present technical concepts clearly.
• Proven interpersonal and negotiation skills, with experience building strong stakeholder relationships.
• Demonstrated critical thinking and troubleshooting in complex data environments.
• Effective consulting and facilitation skills, with a track record of engaging diverse stakeholders.
• Excellent customer service orientation, applying tact and diplomacy to manage client needs.
• Highly motivated, flexible, detail-oriented, and creative team player with strong organizational and multi-tasking abilities.
• Proven ability to meet strict deadlines in fast-paced, data-driven environments.

• Experience with digital product development, data analysis, and data security.
• Familiarity with Data Lakehouse architectures and emerging cloud-native technologies.
• Hands-on experience with mainstream cloud providers (AWS, Azure, GCP) and their data services.
• Knowledge of data governance, compliance, and security frameworks in enterprise environments.

25%

Public Sector Experience

· Proven public sector experience, particularly within environments supporting legacy systems, formal governance models, and regulated data.

· Experience working under Ontario Public Service (OPS) or similar audit standards, data classification frameworks, and compliance requirements.

· Knowledge of and experience complying with PHIPPA and other public‑sector regulatory obligations.

5%