Principal - Data Engineering
About The Position
Ally Financial is seeking a Principal Data Engineer to join its Enterprise Data & AI organization and deliver modern, cloud-based data platforms and engineering solutions for analytics, reporting, AI, and business insights. This hands-on technical leadership role focuses on cloud data engineering, data architecture, data modeling, and software engineering, including the design and implementation of scalable data pipelines, enterprise data solutions, and trusted data foundations. The role will help shape engineering standards, mentor teams, and drive innovation while delivering scalable, secure, and high-quality data products. It includes building modern data platforms using AWS and Snowflake, developing data integration solutions, implementing Data Vault modeling, and supporting business-critical capabilities across Ally. Experience supporting Insurance Data & Analytics and AI-enabled use cases is valued.
Requirements
- Bachelor’s degree in computer science, Information Systems, or a related field; the minimum qualifications also accept a relevant degree or equivalent.
- At least 7 years of relevant 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.
- Excellent communication, problem-solving, and stakeholder management skills.
Nice To Haves
- Insurance domain experience.
Responsibilities
- Design and build scalable data pipelines, data products, and enterprise data solutions for analytics, reporting, 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 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.
Benefits
- 20 paid time off days, 11 paid holidays, and 8 hours of annual volunteer time off; time off is prorated based on start date and varies by full- or part-time status and management level.
- 401(k) retirement savings plan with matching and company contributions.
- Student loan paydown and 529 educational savings assistance programs.
- Tuition reimbursement.
- Employee stock purchase plan.
- Access to a financial learning center and financial coach.
- Flexible medical, dental, and vision insurance options.
- Employee, spouse, and child life insurance.
- Short- and long-term disability insurance.
- Health Savings Account with employer contributions and Healthcare FSA.
- Critical illness, accident, and hospital indemnity insurance.
- Total well-being program supporting physical, social, emotional, and financial well-being.
- Adoption, surrogacy, and fertility assistance.
- Paid parental and caregiver leave.
- Dependent Day Care FSA, backup child and adult/elder care days, and childcare discounts.
- Employee Assistance Program.
- Subsidized and discounted Weight Watchers® program and other employee discount programs.
- Potential travel allowances, relocation assistance, signing bonus, and/or equity depending on the role.
- Market-competitive base pay and pay-for-performance incentives based on personal and company goals; this position is eligible for the annual incentive plan.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
