Principal Data & AI Architect — Enterprise Platform

Kalepa Insurance Services, LLC; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Kalepa Insurance Services, LLC is seeking an experienced Enterprise Data & AI Architect to lead the technical strategy for its enterprise data platform and AI ecosystem. This role demands deep technical expertise in creating cohesive, scalable architectures across data platforms, AI/ML systems, and data governance. You will work closely with various teams within the organization to define standards, oversee architectural governance, and implement effective solutions to meet business needs. A Bachelor's degree and extensive experience in the field are required.

Qualifications

• 8–12 years of experience in data architecture or engineering roles.
• 5 years in a senior or lead architect capacity.
• Experience in designing enterprise-scale data platforms.

Responsibilities

• Define enterprise data and AI architecture blueprint.
• Architect hybrid data platform supporting batch and real-time workloads.
• Lead architecture governance and design reviews.

Skills

Data architecture

AI/ML systems

Microsoft Azure

Data governance

Data engineering

Cloud environments

Education

Bachelor's degree in computer science, Information Systems, Data Engineering

Master's degree (strongly preferred)

Tools

Databricks

Microsoft Fabric

Azure Data Lake

Job description

Kalepa Insurance Services, LLC is seeking an experienced Enterprise Data & AI Architect to lead the technical strategy for its enterprise data platform and AI ecosystem. This role demands deep technical expertise in creating cohesive, scalable architectures across data platforms, AI/ML systems, and data governance. You will work closely with various teams within the organization to define standards, oversee architectural governance, and implement effective solutions to meet business needs. A Bachelor's degree and extensive experience in the field are required.