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# Vice President, Database Engineer

- **Company:** Bny Linkedin
- **Location:** Lake Mary, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Cloud Engineering, Databases, Computer Engineering, Data Validation, Persistent Data Structure, Relational Databases, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Standard Sql, Software Engineering, SQL Stored Procedures, Scripting, Data Server Interface, Ansi Sql
- **Published:** July 10, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2866341471-2

## About the Role

* 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

## Description

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.


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