Lead and manage the data engineering team, providing technical direction, mentorship, and performance oversight.
Design, develop, and optimize enterprise data architectures and pipelines to support business intelligence, analytics, and downstream applications.
Collaborate with cross-functional stakeholders to gather requirements, prioritize initiatives, and deliver data solutions aligned with business needs.
Establish, implement, and enforce data governance, data quality, and data security standards across the organization.
Partner with IT and infrastructure teams to support cloud-based data platforms, ensuring system performance, scalability, and reliability.
Oversee project planning, execution, and delivery for data engineering initiatives, utilizing established project management practices and tools.
Maintain comprehensive documentation for data architectures, pipelines, processes, and standards.
Monitor industry trends and emerging technologies, including AI-driven data solutions, and recommend innovative approaches to advance data engineering capabilities.
Ensure best practices are followed for handling sensitive data and meeting regulatory and compliance requirements within financial services.

Bachelor’s degree in Computer Science, Engineering, or a related field required.
10+ years of experience in data engineering, data architecture, business intelligence, or related technical roles.
4+ years of experience leading, mentoring, and developing technical teams.
Strong expertise in designing and implementing modern data solutions, including cloud-based architectures and AI-enabled technologies.
Proficiency with cloud platforms; Microsoft Azure experience strongly preferred.
Solid understanding of data governance, data security, and data management best practices, particularly in financial services environments.
Exceptional communication, project management, and problem-solving skills with the ability to work effectively across technical and non-technical teams.

Director of Data Engineering

Key skills