Senior Data Transformation Data Architect

OVERVIEW

The Digital Transformation Data Architect is responsible for designing, modernizing, and advancing the organization’s enterprise data ecosystem in support of strategic business objectives, regulatory requirements, and risk management practices. This role combines technical expertise with a forward-thinking mindset focused on building scalable, maintainable, and extensible data solutions that support current operations while enabling future innovation.

The ideal candidate is a hands-on architect and problem solver who balances speed of delivery with sound engineering principles. This individual will drive modernization efforts across data platforms, integration frameworks, analytics capabilities, automation initiatives, AI-enabled solutions, and risk modeling programs while ensuring solutions remain secure, compliant, reliable, and sustainable within a highly regulated financial services environment.

ESSENTIAL DUTIES AND RESPONSIBILITES include the following.

• Design, develop, and maintain enterprise data architecture solutions that support business growth, operational efficiency, regulatory compliance, and risk management objectives.
• Lead modernization initiatives across data platforms, integration frameworks, reporting environments, and analytical capabilities.
• Evaluate and implement emerging technologies, including cloud services, artificial intelligence, machine learning, automation, and advanced analytics solutions where appropriate.
• Architect scalable and reusable data integration frameworks that reduce maintenance overhead and support future business expansion.
• Develop and optimize ETL/ELT processes, data pipelines, and data movement strategies across multiple systems and platforms.
• Collaborate with business leaders, risk management teams, compliance personnel, and technology stakeholders to translate business requirements into sustainable technical solutions.
• Design data models, metadata strategies, governance frameworks, lineage tracking, and quality controls that support enterprise reporting and regulatory requirements.
• Partner with stakeholders to identify opportunities for process automation, operational improvement, and enhanced decision-making through data-driven solutions.
• Establish and promote development standards, architectural best practices, and data engineering disciplines that balance agility with long-term maintainability.
• Evaluate existing systems and processes to identify technical debt, scalability limitations, operational risks, and modernization opportunities.
• Support risk modeling, forecasting, financial analytics, and strategic reporting initiatives through robust data architecture and engineering practices.
• Implement monitoring, validation, reconciliation, and control processes to ensure data accuracy, integrity, availability, and auditability.
• Participate in technology roadmap planning and provide architectural guidance for future-state platform evolution.
• Serve as a technical leader and trusted advisor across multiple business and technology teams.
• Maintain awareness of regulatory expectations, industry trends, cybersecurity considerations, and emerging technologies impacting financial services organizations.

SUPERVISORY RESPONSIBILITIES

This job does not have managerial responsibilities. However, the position is expected to provide technical leadership, mentorship, architectural guidance, and influence across project teams and stakeholders.