Lead Data Engineer

Make banking a Fifth Third better®

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Job Description

Position Summary

We are seeking a technically skilled and governance-aware Data Engineer to join our Enterprise Data Office. This role is central to implementing and scaling automated data management capabilities across our modern data architecture. The ideal candidate will bring deep technical expertise in data engineering while embedding governance controls directly into data pipelines and products. The candidate will be directly aligned to large scale Bancorp modernization efforts, Category 3 readiness, Machine learning operations, and AI use case enablement.

Key Responsibilities

• Design, build, and maintain scalable, automated data pipelines using tools such as dbt, Snowflake, and Elevate.
• Implement and operationalize data management capabilities including data quality, lineage, classification, and monitoring across all data domains—not just critical data elements.
• Collaborate with IT Governance, Risk, and Compliance teams to ensure alignment with regulatory and audit requirements.
• Embed governance controls into data products at the point of creation, enabling federated and automated governance models.
• Support the enterprise-wide transition from manual, white-glove governance to embedded, automated data stewardship.
• Partner with data product owners and business SMEs to ensure data solutions are discoverable, reusable, and aligned to business processes.
• Contribute to the continual improvement of our modern data strategy by adopting reusable design patterns and scalable architecture principles

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 4+ years of experience in data engineering, preferably in a regulated industry.
• Proficiency in SQL, Python, and modern data stack tools (e.g., dbt, Snowflake, Airflow).
• Experience with data cataloging, metadata management, and data quality frameworks.
• Familiarity with data governance frameworks (e.g., DCAM) and regulatory data requirements (e.g., FR Y-9C, FFIEC 031).
• Strong understanding of data lineage, data classification, and lifecycle monitoring.

Preferred Qualifications

• Experience transitioning from governance-focused roles to engineering-focused delivery.
• Knowledge of enterprise data certification processes and critical data element (CDE) management.
• Exposure to Agile methodologies and DevOps practices in data environments.

Position is not available for immigration sponsorship.

Lead Data Engineer

LOCATION -- Cincinnati, Ohio 45202

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.