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# Principal - Data Engineering

- **Company:** Ally Financial Inc.
- **Location:** Detroit, MI, United States (Remote available)
- **Experience:** Expert
- **Salary:** $110,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Cloud Computing, Cloud Database, Information Systems, Corona (Software Development Kit), Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Vault Modeling, Data Warehousing, IBM InfoSphere DataStage, DevOps, Digital Assets, Dimensional Modeling, Distributed Data Store, Python (Programming Language), Metadata, Software Engineering, Enterprise Data Management, Cloud Platform System, Data Ingestion, Snowflake, Generative AI, Build Management, Data Analytics, Qlikview, Integration Frameworks, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://dejobs.org/x/x/AD69B7455B0D492697E2CEC4CB687667/job/

## About the Role

* 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.
 * Experience with dbt, DataStage, Qlik Replicate, and enterprise data integration tools.
 * Strong knowledge of Data Vault, dimensional modeling, and enterprise data architecture.
 * Experience designing and delivering large-scale data pipelines, APIs, and distributed data solutions.
 * Strong understanding of data governance, metadata, lineage, security, and data quality management.
 * Demonstrated ability to lead technical initiatives, influence architecture decisions, and mentor engineering teams.
 * Experience with AI/ML enablement and building data foundations that support advanced analytics and generative AI solutions.
 * Insurance domain experience is preferred.
 * Excellent communication, problem-solving, and stakeholder management skills.

Minimum Qualifications

 * 7+ years of relevant experience
 * Bachelor's Degree in relevant field(s) of study or equivalent

## Description

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, DevOps, 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.