Data Engineer Jobs in Cary, NC

Leads infrastructure engineering strategy for enterprise data integration platforms, including modernization, resiliency, automation, observability, security, and production support. Establishes engineering standards and reference architectures, guides remediation of reliability risks, coordinates cloud, middleware, database, security, and SRE teams, and communicates technical strategy to executives and business stakeholders. The role requires expertise in ETL, CDC, cloud data integration, infrastructure-as-code, scripting, and highly available enterprise data platforms.

Designs and delivers enterprise data and AI capabilities from concept through production. Responsibilities include defining target architectures, evaluating build-versus-buy decisions, building hands-on data and AI solutions, reviewing code and models, guiding platform adoption, and advising executive stakeholders. The role covers machine learning, generative AI, RAG, agent architectures, semantic layers, MLOps, model governance, cloud data platforms, and production readiness in a regulated environment.

Engineer and support secure infrastructure and data security services across cloud and on-premises environments. Build automation with Python, PowerShell, Ansible, APIs, and YAML; implement secure AI-enabling technologies; operate data security, database monitoring, and data loss prevention platforms; and coordinate incident response, vulnerability remediation, changes, documentation, and engineering handoffs.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.