Database Architect

Kforce has a client in Lansing, MI that is seeking a Database Architect. This is for a large, enterprise-scale organization operating complex, high-availability data environments across multiple business functions. The company relies on a diverse set of relational and non-relational database platforms to support mission-critical applications and data-driven decision-making. Key Responsibilities:

• Evaluate, design, and recommend database architectures and solutions that ensure optimal performance, scalability, availability, and maintainability across enterprise systems
• Develop and maintain documentation covering database standards, best practices, and usage guidelines across multiple database platforms
• Manage and coordinate relationships with external vendors providing database technologies, tools, and support services
• Provide advanced technical support and troubleshooting for internal teams and external stakeholders using enterprise database systems
• Assess emerging technologies, industry trends, and evolving business needs to define strategic direction, including buy vs. build recommendations and future roadmap planning
• Mentor and guide database administrators and technical leads to strengthen capabilities and align technical execution with business objectives
• Bachelor's degree in Computer Science, Information Technology, or a related discipline, or equivalent combination of education and experience
• Minimum of 7 years of database administration experience in enterprise environments
• Hands-on experience in a lead technical role supporting multiple database platforms (e.g., Oracle, Microsoft SQL Server, PostgreSQL, MariaDB, MySQL, Snowflake, MongoDB)
• Experience designing and automating database maintenance processes in Windows Server and/or Unix/Linux environments
• Strong knowledge of backup and recovery strategies and tools
• Experience implementing and supporting high availability and disaster recovery database solutions
• Familiarity with cloud-based database services and architectures
• Understanding of ETL/ELT processes and data pipeline integration
• Ability to independently troubleshoot and resolve complex database performance issues across teams
• Strong communication, documentation, and stakeholder management skills
• Demonstrated ability to mentor technical staff and influence best practices
• Strong analytical thinking with the ability to evaluate trade-offs and propose innovative solutions