Lead Data Engineer
| Company | Fifth Third Bank |
|---|---|
| Location | Cincinnati, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- 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.
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.
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.