Manager Team Lead SQL Systems
Role details
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Tech stack
Job description
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., 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.
Requirements
Do you have experience in Leadership?, * Bachelor's degree in Computer Science, Engineering, or related field.
- 7 -8 years of experience managing large-scale SQL Server environments in enterprise settings.
- Proven leadership experience managing distributed data engineering teams.
- Strong 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.
Benefits & conditions
Pulled from the full job description
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Disability insurance