The organization is seeking a Senior Database Platform Engineer to help design, build, and support a modern database platform. This role emphasizes automation, infrastructure-as-code, and declarative database management practices. The successful candidate will create scalable solutions that reduce manual operational effort while ensuring consistency, security, and reliability across multiple database technologies.

• Design, implement, and support database platforms, including automated provisioning and lifecycle management.
• Build and maintain high-availability database solutions and automated deployment frameworks.
• Drive adoption of declarative, state-based database deployment practices, ensuring all changes are version-controlled, auditable, repeatable, and automated.
• Manage database schema as code with strict governance around change management and drift prevention.
• Provision and manage infrastructure using Infrastructure-as-Code tools to ensure repeatable and standardized deployments.
• Develop CI/CD and GitOps workflows that integrate database deployments into broader engineering processes.
• Build observability and monitoring solutions utilizing modern monitoring and telemetry frameworks.
• Create migration and modernization tooling to assist with platform transformations.
• Develop self-service capabilities and implement robust security controls across database environments.

• Strong hands-on expertise administering and optimizing enterprise database platforms, including performance tuning, indexing, high availability, replication, and security.
• Experience supporting modern cloud data platforms, including data modeling, security administration, ingestion, and performance optimization.
• Proven experience with Infrastructure-as-Code tools for provisioning and lifecycle management.
• Hands-on experience implementing declarative, state-based database deployment methodologies.
• Strong understanding of schema-as-code principles, versioned migrations, automated releases, and environment promotion strategies.
• Proficiency in scripting and automation using languages such as PowerShell and/or Python.
• Experience integrating database deployments into CI/CD pipelines and modern DevOps workflows.

• Exposure to additional database technologies, including relational, analytical, and distributed data platforms.
• Experience with caching technologies and modern data infrastructure components.
• Familiarity with container orchestration and cloud-native platforms.
• Experience building lakehouse architectures and data federation capabilities.
• Knowledge of workflow orchestration and data transformation tools.
• Experience with observability platforms, metrics collection, logging, and distributed tracing.
• Familiarity with reporting and business intelligence tools.

• Passionate about automation and treating infrastructure and database changes as code.
• Strong platform engineering mindset with experience building scalable internal services.
• Comfortable operating across infrastructure, database, and application layers.
• Interested in modernizing traditional database administration practices through engineering-led solutions.
• Adaptable, curious, and eager to learn new technologies in a rapidly evolving environment.