Principal - Data Engineering

Ally and Your Career Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.

From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

Work Schedule :
Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity Ally is seeking a Principal Data Engineer to join the Enterprise Data & AI organization and help deliver modern, cloud-based data platforms and engineering solutions that power analytics, reporting, AI, and business insights.

This role is ideal for a hands-on technical leader with deep expertise in cloud data engineering, data architecture, data modeling, and software engineering. You will drive the design and implementation of scalable data pipelines, enterprise data solutions, and trusted data foundations that support business-critical capabilities across Ally.

The ideal candidate brings experience building modern data platforms on AWS and Snowflake, developing robust data integration solutions, implementing Data Vault modeling, and applying engineering best practices. Experience supporting Insurance Data & Analytics solutions and AI-enabled use cases is highly valued.

You will play a key role in shaping engineering standards, mentoring teams, and driving innovation while delivering scalable, secure, and high-quality data products.

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

The Work Itself Design and build scalable data pipelines, data products, and enterprise data solutions that support analytics, reporting, and AI initiatives.

Develop cloud-native solutions leveraging AWS, Snowflake, and modern data engineering technologies.

Lead Data Vault and enterprise data modeling efforts to create trusted and resilient data assets.

Build and optimize data ingestion, transformation, integration, and quality frameworks across diverse data sources.

Enable trusted and governed data for business intelligence, advanced analytics, and AI use cases.

Partner with business and technology teams to define data requirements and deliver scalable solutions.

Establish data quality, monitoring, metadata, lineage, and governance standards.

Promote engineering excellence through modern software development, Dev Ops, and Agile practices.

Provide technical leadership, mentor engineers, and influence architecture and platform decisions.

Evaluate emerging technologies and drive continuous improvement across Ally's data ecosystem.

The Qualifications We’re Looking For Bachelor’s degree in computer science, Information Systems, or 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.

E…