Director Enterprise SQL Systems

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 managing large-scale SQL Server environments in enterprise settings.
• Proven leadership experience managing distributed data engineering teams.
• Deep technical knowledge of: SQL Server (Clustering, AlwaysOn, Replication, Log Shipping, CDC) Data Warehousing (SSIS, SSRS, Power BI, Tableau) AI/ML integrations using Python, R, or Azure ML Modern architectures – Microservices, Event Streaming, Data Lakes, and Hybrid Cloud
• Strong background in cloud data platforms (AWS RDS, Azure SQL, or similar). Experience in MS SQL, MYSQL, NoSQL is a plus.
• Experience implementing AI-assisted data governance, automated analytics, or predictive modeling pipelines a major plus.

Market America offers competitive salary and generous benefits, including health, dental, vision, life, short and long-term disability insurance, a 401(k) retirement plan with company match, and an on-site health clinic.