Senior Vice President, Database Engineer

Senior Vice President, Database Engineer 

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role Senior Vice President, Database Engineer to join our Wealth Service Platform team. This role is located in Lake Mary, FL. 

In this role, you’ll make an impact in the following ways: 

• Design and Review of Logical and Physical Data Models based on data in existing systems and new business requirements
• Enhance the Canonical Data Model for the Platform
• Implement the data model enhancements
• Implement and manage views and stored procedures for data consumption and data persistence
• Provide tools and support for the data consumption services
• Ensure Performance of the Data Models based on the Transactional and Analytical use cases
• Ensure Data Quality within the data models and at the data interfaces
• Implement Data Validation and Verification Processes
• Work with various development teams to provide an understanding of the data model and the data.

To be successful in this role, we’re seeking the following: 

• Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required. 9-11 years of experience in software development required; experience in the securities or financial services industry is a plus; should have thorough knowledge of the software development cycle 
• Experience with  data modeling, database design and development or related experience is required.
• Prior experience in managing DB development team
• Experience modeling Financial data
• Prior experience modeling Client and Entitlement Data
• Good knowledge of Financial Accounts, Transactions and Positions data
• Hands-on experience with any RDBMS, preferably MS SQL Server or Oracle 
• Good SQL knowledge
• Excellent communication skills
• Good Problem Solving & Analytical Skills
• Work experience in Financial Services
• Work experience on any data modeling tool, viz. Erwin, DBArtisan etc.
• Experience with writing ANSI SQL code
• Prior Experience with a scripting language, preferably Python
• Experience working with Cloud native databases

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn 

 Here’s a few of our recent awards: 

• America’s Most Innovative Companies, Fortune, 2025
• World’s Most Admired Companies, Fortune 2025
• “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. 

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance and market factors.”