Principal Data Engineering

Ally Financial

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Detroit, MI
Salary
$110,000–$180,000 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $145k
$93k $269k
below market most similar roles pay here above market

This role pays less than 79% of similar roles. Most pay $158,612–$214,500 — the blue band above. At the midpoint, this role pays about $145k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Ally Financial

Ally Financial is a US-based digital financial services company offering online banking, auto financing, mortgage, and investment products. It is one of the largest all-digital banks in the United States.

Ally Financial currently has 22 open roles on FindRole.

Listed pay typically runs $110,000–$180,000 across 22 roles with salary data.

Most-posted roles

View all roles at Ally Financial

At a glance

TL;DR · Principal Data Engineering

JOB TITLE: Principal - Data Engineering The Principal - Data Engineering joins the Enterprise Data & AI organization to deliver modern, cloud-based data platforms and engineering solutions. This role involves designing and building scalable data pipelines, enterprise data solutions, and trusted data foundations that power analytics, reporting, and AI initiatives. You will develop cloud-native solutions, lead Data Vault and enterprise data modeling efforts, and optimize data ingestion, transformation, and quality frameworks. Key technologies include AWS services like S3 and Lambda, Snowflake, Python, dbt, DataStage, and Qlik Replicate. You will also establish governance standards for metadata, lineage, and security while mentoring engineers. The work focuses on solving complex data integration problems, specifically supporting Insurance Data & Analytics solutions and building foundations for advanced analytics and generative AI use cases.

What you'll do

  • Design and build scalable data pipelines and enterprise data solutions for analytics and AI initiatives.
  • Develop cloud-native solutions using AWS, Snowflake, and modern data engineering technologies.
  • Lead Data Vault and enterprise data modeling efforts to create resilient data assets.
  • Build and optimize data ingestion, transformation, integration, and quality frameworks across diverse sources.
  • Establish standards for data quality, monitoring, metadata, lineage, and governance.
  • Promote engineering excellence through modern software development, DevOps, and Agile practices.
  • Provide technical leadership and mentor engineers on architecture and platform decisions.
  • Evaluate emerging technologies to drive continuous improvement across the data ecosystem.

What we're looking for

  • Bachelor’s degree in computer science, Information Systems, or a related field.
  • 7+ years of experience in data engineering, data architecture, or analytics platforms.
  • Proficiency in Python, automation, and modern software engineering practices.
  • Deep expertise with Snowflake, modern data warehousing, and cloud-based data platforms.
  • Strong hands-on experience with AWS services including S3, Lambda, and related cloud technologies.
  • Experience with dbt, DataStage, Qlik Replicate, and enterprise data integration tools.
  • Strong knowledge of Data Vault, dimensional modeling, and enterprise data architecture.
  • Experience with AI/ML enablement and insurance domain experience (preferred).

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