Feature Lead / Senior ETL Platform Engineer

Location:

Plano, TX

Salary Range:

Competitive

Introduction

This role is responsible for leading the design, delivery, and evolution of cloud-based, AI-enabled data integration and analytics platforms to meet enterprise technology and business goals. The Lead drives architectural decisions across Informatica (on-prem and cloud), public cloud services, and AI-driven data capabilities, ensuring scalable, secure, and high-performance data solutions. The role partners with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams to implement data and AI requirements, optimize platform performance, and resolve complex system engineering challenges. This position also provides technical leadership, governance, and mentorship across data, cloud, and AI initiatives.

Required Skills & Qualifications

• Strong hands-on experience with Informatica on-prem and Informatica Intelligent Cloud Services (IICS).
• Deep understanding of Informatica Cloud architecture, secure agents, and hybrid/cloud deployment models.
• Experience designing solutions on public cloud platforms (Azure preferred), including integration with Azure Active Directory.
• Experience delivering AI/ML-enabled data pipelines that support analytics, model training, and intelligent applications.
• Proven experience with Incident, Problem, Change, and Service Request Management in cloud environments.

Preferred Skills & Qualifications

• Familiarity with Operational Insights, cloud monitoring, and AI-driven observability.
• Experience mentoring teams on cloud, data engineering, and AI data best practices.
• Prior work experience at client or in client's Industry.

• Applicants must be able to work directly for Artech on W2.

Day-to-Day Responsibilities

• Lead requirement gathering with application, analytics, and AI teams to enable necessary IICS capabilities, cloud services, and AI/ML data integrations.
• Own end-to-end cloud-first IICS platform setup, including Organizations, secure agents (cloud and hybrid), connections, role-based access control (RBAC), and permissions.
• Guide delivery of complex data transformations, data quality rules, metadata management, and workload orchestration in cloud and hybrid environments.

For immediate consideration please click APPLY to begin the screening process.