Head of Data Engineering
Role Overview
A leading financial services firm is seeking a Head of Data Engineering to lead its enterprise data engineering function through a significant data and technology transformation.
This individual will oversee the strategy, modernization, and operational performance of the firm's data platforms, supporting analytics, AI, regulatory requirements, and critical business functions. The role requires a strong technical leader who can balance platform reliability with large-scale modernization while partnering effectively with senior business and technology stakeholders.
Key Responsibilities
- Lead enterprise data engineering across platforms, pipelines, architecture, tooling, and delivery.
- Drive modernization of the data ecosystem while ensuring stability of business-critical platforms.
- Continue the build-out and scaling of a modern lakehouse architecture.
- Advance a data-as-a-product model across the organization.
- Lead the migration and retirement of legacy data platforms and reporting solutions.
- Improve delivery predictability, engineering standards, incident management, and operational resilience.
- Partner with senior leaders across technology, front office, finance, risk, and compliance.
- Shape the future-state data engineering operating model and organizational structure.
- Lead and develop a large, globally distributed engineering organization.
- Build a high-performance culture focused on accountability, technical excellence, and execution.
Scope
- Leadership of approximately 150-200+ data engineering professionals.
- Distributed teams across the U.S. and international delivery centers.
- Significant executive-level visibility and influence.
- Backed by substantial investment in data platform modernization, AI enablement, and enterprise transformation.
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