Liquibase SME

We are seeking a highly skilled Liquibase SME with extensive experience in SQL Server projects to join our dynamic team. The ideal candidate will have a deep understanding of Liquibase for automated database deployments preferably with experience in large-scale projects and conversions. This role requires a technical expert who can drive best practices optimize CI/CD pipelines and provide end-to-end support for database version control and deployment automation.

• Serve as the go-to expert on Liquibase for all database deployment activities.
• Design develop and maintain Liquibase changelogs for SQL Server environments.
• Lead and implement automated database deployment pipelines using CI/CD tools.
• Collaborate with development and operations teams to ensure seamless database versioning and releases.
• Participate in the conversion projects involving database migrations or upgrades.
• Provide technical guidance and mentorship to team members on Liquibase best practices.
• Monitor troubleshoot and optimize Liquibase deployment processes.
• Maintain comprehensive documentation of deployment procedures configurations and best practices.

• Proven experience working on large SQL Server projects utilizing Liquibase for automated deployments.
• Extensive hands-on knowledge of Liquibase with a thorough understanding of its architecture features and best practices.
• Solid experience with CI/CD pipelines specifically integrating Liquibase with tools like Jenkins Azure DevOps or similar.
• Proficiency in version control systems especially Git.
• Experience in database conversion and migration projects is a strong plus.
• Strong scripting skills (PowerShell Bash etc.) are desirable.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills and ability to work collaboratively in a team.

• Prior experience working on large enterprise-scale SQL Server implementations.
• Knowledge of other database technologies is a plus.
• Certification or formal training in Liquibase or DevOps practices