• 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.