Data & Analytics Expert

Allstate

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$120,000–$193,725 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $157k
$101k $221k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $126,800–$208,921 — the blue band above. At the midpoint, this role pays about $157k versus about $168k 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 55 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 53 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Data & Analytics Expert

The Data & Analytics Expert provides technical leadership to design and deliver scalable, reliable, and well-governed enterprise data solutions. Working across multiple business domains, this role serves as a senior technical authority responsible for defining data architecture standards, solving complex data challenges, and driving modernization of legacy platforms. You will build modern data architectures, design batch and streaming processing solutions, and establish engineering best practices for data ingestion, transformation, and lifecycle management. Key technologies include Python, PySpark, Scala, SQL, and Microsoft Fabric, including Lakehouse, OneLake, and Dataflows Gen2. You will also utilize Spark, Kafka, Flink, dbt, and Datadog. The role focuses on creating trusted, reusable data capabilities while ensuring data quality, security, and observability across cloud environments like Azure and AWS.

What you'll do

  • Lead the architecture and design of enterprise-scale data solutions across cloud, lakehouse, and streaming platforms.
  • Define scalable architectural patterns for data ingestion, transformation, storage, and lifecycle management.
  • Develop high-performance batch, streaming, and event-driven data processing solutions using Python, PySpark, Scala, or SQL.
  • Provide technical leadership for modern data solutions using Microsoft Fabric, including Lakehouse, Warehouse, and OneLake.
  • Establish software engineering standards for data development, including CI/CD, automated testing, and version control.
  • Design and implement enterprise-level practices for data quality, metadata management, lineage, and security.
  • Evaluate and recommend new data technologies and architectural patterns to modernize legacy data ecosystems.
  • Mentor engineers and influence technical direction across multiple teams to improve engineering excellence and observability.

What we're looking for

  • Expert-level knowledge of data architecture, data engineering, distributed processing, data integration, and data modeling.
  • Advanced proficiency in Python, PySpark, Scala, SQL, or comparable engineering languages.
  • Advanced understanding of Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Pipelines, Dataflows Gen2, and Semantic Models.
  • Strong knowledge of Delta Lake, lakehouse architecture, distributed computing, batch processing, and streaming architectures.
  • Advanced SQL expertise, including query optimization and performance tuning.
  • Strong knowledge of cloud architecture and data services within Microsoft Azure and/or AWS.
  • Advanced understanding of engineering practices including Git, CI/CD, automated testing, infrastructure/deployment automation, and release management.
  • 10 or more years of relevant technology, data engineering, data architecture, or data platform experience (preferred).

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