Enterprise Architect, Emerging Analytics

Allstate

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
TX
Salary
$134,000–$209,750 / yr
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $172k
$122k $244k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $162,000–$220,267 — the blue band above. At the midpoint, this role pays about $172k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 52 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 51 roles with salary data.

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View all roles at Allstate

At a glance

TL;DR · Enterprise Architect, Emerging Analytics

JOB TITLE: Enterprise Architect - Emerging Analytics The Enterprise Architect - Emerging Analytics joins the Enterprise Architecture organization to define technology strategies, platforms, and standards for a data-driven enterprise. This role involves defining and socializing data analytic practices, providing strategic guidance on ingestion, integration, data visualization, and advanced analytics including generative AI. You will build solutions for large-scale data lake implementation and lakehouse modernization, focusing on data warehousing and business intelligence. Key responsibilities include developing prototypes, evaluating emerging technologies, and designing data models and integration patterns. Required skills include experience with cloud platforms like AWS, Azure, or Google Cloud, and tools such as Microsoft Fabric, Snowflake, Redshift, Power BI, and Tableau. You will utilize SQL, MPP databases, and CI/CD pipelines to solve complex data architecture problems and support scalable, secure enterprise data projects.

What you'll do

  • Drive the evolution and architecture for a scalable, secure, and modern data platform.
  • Design and implement modern data lake and lake house architectures with business partners.
  • Build and develop prototypes for cloud-native microservices and high-priority data solutions.
  • Define practices for data models, data flows, and integration patterns across consumption layers.
  • Oversee the deployment of long-term strategic data products and analytics services.
  • Communicate architectural strategies and initiatives to senior and executive leadership.
  • Evaluate emerging technologies to influence the development of next-generation data and AI platforms.

What we're looking for

  • Bachelor’s degree or equivalent professional experience.
  • 10 to 15 years of experience in at least two IT disciplines including data architecture, cloud architecture, analytics, or big data.
  • 5+ years of hands-on experience in implementation and performance tuning MPP databases like Oracle Exadata, Teradata, or Netezza.
  • Hands-on experience architecting solutions at scale for cloud data platforms including AWS, Azure, or Google Cloud.
  • Experience designing analytics environments for data visualization, model development, and AI-driven data agents.
  • Experience designing database environments, analyzing production deployments, and optimizing performance.
  • Expertise in building secure, scalable data ingestion and ETL/ELT solutions using server-based and serverless tools.
  • Strong SQL skills and experience with big data platforms, SQL, and NoSQL databases.
  • Experience with data warehouse data structures, dimensional modeling, and tools such as ERWIN (preferred).
  • Experience with Microsoft Fabric and modern lakehouse architectures (preferred).
  • Experience building AI-enabled analytics platforms, AI agents, or generative AI solutions (preferred).
  • Cloud architecture certifications from AWS, Azure, or Google Cloud (preferred).
  • Experience in insurance or other highly regulated industries (preferred).

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