Systems Architect Lead (Database Services)

About the role

The Systems Architect Lead will drive the design, implementation, and continuous optimization of enterprise database platforms across on‑premises, Azure, and Google Cloud environments. You will ensure high availability, scalability, performance, and security while leading senior database engineers and acting as the primary technical liaison for application teams and business stakeholders.

Key responsibilities

• Define and maintain enterprise database architecture standards and roadmaps for hybrid and multi‑cloud environments.
• Lead architectural reviews, ensuring alignment with security, reliability, and performance standards.
• Mentor and develop senior database engineers and DBAs, allocating resources and setting technical direction.
• Manage end‑to‑end database projects, including migrations, modernization, and go‑live support.
• Operate and optimize SQL and NoSQL platforms, including Azure SQL, Azure Managed Instances, Azure Fabric, and Google Cloud databases.
• Design disaster‑resilient architectures, backup/recovery, replication, and failover strategies.
• Oversee data warehouse and data lake environments, focusing on performance tuning, capacity planning, and cost optimization.
• Define KPIs, SLAs, and monitoring dashboards; lead root‑cause analysis and continuous improvement.
• Enforce security standards, access controls, encryption, and compliance with regulatory requirements.

Required profile

• Proven experience leading database architecture initiatives in multi‑cloud (Azure, GCP) and on‑premises settings.
• Strong leadership and team‑development skills, with a track record of mentoring senior engineers.
• Excellent communication skills to interface with application teams and business stakeholders.

Required skills

• SQL and NoSQL database platforms
• Azure SQL, Azure Managed Instances, Azure Fabric
• Google Cloud database services
• Data warehouse and data lake technologies
• Backup, recovery, replication, and disaster‑recovery design
• Performance tuning and capacity planning
• Monitoring and observability tools
• Database security, encryption, and auditing