Director Enterprise SQL Systems
Market America, Inc.About the role
Market America, a product brokerage and Internet marketing company that specializes in One-to-One Marketing, is seeking an experienced Director of Enterprise SQL Systems for our IT 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 Director of Enterprise SQL Systems & AI Data 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 deep 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.
- Establish frameworks for AI-driven query optimization, anomaly detection, and intelligent forecasting.
- Partner with product and engineering teams to embed analytics and data-driven intelligence directly into digital experiences.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience
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