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Director Enterprise SQL Systems

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: Market America Inc
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Director of Enterprise SQL Systems & AI Data Engineering

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 & AI Data Engineering for our IT team. The role will lead the design, evolution, and delivery of Market America’s global data infrastructure, including Microsoft SQL Server, MySQL, cloud-based data platforms, and AI-driven analytics systems.

Key Responsibilities
  • 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.
  • 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.
  • 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
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