Senior Data Transformation Architect

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Patriot Bank, N.A.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1994

🏦 Banking

💸 Finance

Banking • Finance

Patriot Bank, N. A. is a full-service financial institution headquartered in Stamford, Connecticut. It offers a wide range of personal, business, and commercial banking services, including personal checking and savings accounts, certificates of deposit, mortgage loans, and home equity options. For businesses, it provides small business checking accounts, commercial real estate loans, and various lines of credit. The bank is committed to community involvement and supports local educational programs, such as the Junior Achievement Career Speaker Series. It also offers digital solutions like online and mobile banking, ensuring accessibility and convenience for its customers.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Science, Mathematics, Finance, or related field; equivalent combination of education and experience will be considered. • 5+ years of experience designing, developing, and supporting enterprise data solutions. • 5+ years of experience in financial services, banking, fintech, insurance, or other highly regulated environments preferred. • Advanced experience with Microsoft SQL Server, T-SQL, data modeling, database design, and performance tuning. • Strong experience developing and supporting ETL/ELT processes using SSIS or comparable integration technologies. • Demonstrated experience designing scalable and reusable data architectures that support long-term business growth and evolving requirements. • Experience leading or significantly contributing to data modernization initiatives. • Experience implementing data governance, data quality, lineage, reconciliation, and audit controls. • Experience supporting enterprise reporting, analytics, forecasting, risk management, or financial modeling initiatives. • Proven ability to translate complex business requirements into sustainable technical solutions. • Experience evaluating and implementing emerging technologies including cloud platforms, AI, machine learning, automation, and advanced analytics solutions.

🏖️ Benefits

• 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.