Manager Team Lead SQL Systems

Market America, a product brokerage and Internet marketing company that specializes in One-to-One Marketing, is seeking an experienced Manager Team Lead SQL Systems to serve as manager for our team. This is a hands-on technical leadership role with a major focus on SQL development, reporting, and data delivery. The successful candidate must be comfortable personally writing, reviewing, optimizing, and troubleshooting SQL code, stored procedures, reporting datasets, ETL processes, and business intelligence solutions while also leading and mentoring the team.

About Us:

Market America is a dynamic and fast-growing company specializing in e-commerce and digital marketing. We pride ourselves on innovation, customer satisfaction, and a commitment to excellence.

Position Summary

The Manager Team Lead of Enterprise SQL Systems Engineering will lead the design, evolution, and delivery of Market America’s global data infrastructure, including Microsoft SQL Server, MySQL, cloud-based data platforms, and moving us toward an AI-driven analytics systems.

This role oversees the engineering teams responsible for database development, business intelligence, data warehousing, and next-generation AI/ML data systems supporting global e-commerce operations.

You will bring strong technical expertise, leadership excellence, and strategic vision to scale our data platforms, ensure 24/7 reliability, and accelerate the company’s transition toward AI-enhanced decision systems and predictive business intelligence.

Key Responsibilities:

Leadership & Strategy

• Lead, mentor, and grow high-performing teams of DBAs, data engineers, and BI/AI developers across global locations.
• Build a data-first culture - combining SQL excellence with AI-driven insights for smarter decision-making.
• Partner with technology and business leaders to define the data and AI roadmap, aligning with corporate strategy and global growth objectives.
• Serve as a trusted advisor to the CIO/CTO and executive team for all data, analytics, and AI initiatives.

Technical & Operational Excellence

• Oversee enterprise-scale SQL environments ensuring high availability (HA), disaster recovery (DR), scalability, and performance optimization.
• Lead modernization efforts including data warehouse transformation, cloud migration, and AI/ML integration.
• Champion automation and observability practices across data systems to improve delivery velocity and reliability.
• Evaluate and implement emerging technologies in AI-powered database optimization, predictive analytics, and generative BI tools.

Execution & Continuous Improvement

• Develop and track KPIs for system performance, uptime, and delivery efficiency.
• Evolve and enforce best practices for data architecture, ETL/ELT processes, and code standards.
• Lead major incident triage and root cause analysis; deliver proactive solutions for long-term stability.