Lead Data Engineer

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