Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead the design and development of Adobe AEM solutions, manage deployments, conduct code reviews, ensure operational stability, and mentor teams.

The Lead Marketing Strategy Analyst enhances marketing performance through analytics, predictive modeling, and data science, driving optimization and actionable insights.

Lead and develop an advisory team, drive participant outcomes, elevate planning quality, and influence departmental strategy while ensuring compliance and licensing standards are met.

The Lead Technical Database Administrator oversees database services, designs database systems, conducts performance analysis, ensures data integrity, and mentors staff. They manage complex database environments and support business applications through optimization and security.

Lead enterprise-level network infrastructure architecture, shaping strategy, driving design and planning, providing governance and expertise across IT systems, and ensuring scalability and security.

Manage complex projects and workstreams, oversee onboarding and training processes, drive stakeholder alignment, and ensure compliance in project execution.

This role involves data preparation, analysis, visualization, project management, and collaboration with marketing teams to drive data-informed strategies and insights for business growth.

Lead Adobe-based tagging strategy and implementation across advisor-facing web properties. Design scalable data layers, implement Adobe Launch/Web SDK, validate Adobe Analytics capture, maintain tagging governance and documentation, and support CJA evaluation. Partner with MarTech, IT, analytics, and vendors to drive measurement, QA, and personalization enablement.

Serve as technical lead for complex software and cloud projects: design, implement, test, and maintain solutions; approve technical deliverables; resolve escalated issues; mentor engineers; enforce standards; communicate with stakeholders and ensure compliance with IT and security policies.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.