Senior Data Platform & AI Architecture Lead

Allstate Insurance Co.

Town of Texas (WI)

Hybrid

USD 134,000 - 210,000

Full time

6 days ago
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Job summary

Allstate Insurance Co. is seeking an experienced Enterprise Data Architect within the Enterprise Architecture organization.

You will define data analytic practices, guide ingestion, integration, data visualization, and AI-enabled analytics, focusing on data lake and lake house modernization, and collaborate with senior leaders, engineers, and architects to build enterprise-scale analytics. The role requires 10–15 years in data architecture, cloud platforms (AWS/Azure/Google Cloud), strong SQL,

Qualifications

  • 10–15 years of experience across IT disciplines such as data architecture, cloud architecture, analytics & data science, and big data technologies.
  • Hands-on experience leading architecture for cloud data platforms with major providers (AWS/Azure/Google Cloud).
  • Experience designing analytics environments with data visualization and AI-driven data agents; strong SQL skills.

Responsibilities

  • Drive the evolution and data architecture for a scalable and secure data platform.
  • Design and implement a modern data lake and lake house architecture with business partners and engineering teams.
  • Engage with strategic customers and ensure future needs and vision are aligned with a data-driven enterprise.
  • Oversee deployment of long-term strategic data products and infuse data and analytics services across business and IT.
  • Lead prototyping of cloud-native microservices for data, with metadata-driven frameworks and DevOps.

Skills

Leadership
Strategic thinking
Communication
Cloud architecture
Data governance

Education

Bachelor's degree or equivalent professional experience

Tools

AWS
Azure
Google Cloud

Job description

Allstate Insurance Co. is seeking an experienced Enterprise Data Architect within the Enterprise Architecture organization.

You will define data analytic practices, guide ingestion, integration, data visualization, and AI-enabled analytics, focusing on data lake and lake house modernization, and collaborate with senior leaders, engineers, and architects to build enterprise-scale analytics. The role requires 10–15 years in data architecture, cloud platforms (AWS/Azure/Google Cloud), strong SQL,

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