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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Data Management Engineer - **Company:** The Bank of New York Mellon Corporation - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, JIRA, Big Data, Databases, Computer Engineering, Continuous Integration, Data Dictionary, Information Engineering, Extract Transform Load (ETL), Data Mining, Data Sharing, Data Structures, Data Systems, Data Warehousing, Relational Databases, Distributed Systems, Python (Programming Language), Logical Databases, Metadata, Oracle (Applications), Power BI, Software Engineering, SQL Databases, Snowflake, Apache Spark, Gitlab, Pyspark, Data Management, Restful APIs, Data Pipelines, Service Stack - **Published:** August 27, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18081134?backUrl=%2Fcareer%2F18081134%2FVice-President-Data-Management-Engineer-New-York-New-York ## About the Role * Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required * 6-10 years of experience in software development required; experience in the securities or financial services industry is a plus * The candidate should have strong understanding of big data technology stack such as Snowflake. * The candidate should be a Python expert, SQL with Data Engineering capabilities. * The candidate should have proven experience with RDBMS like Oracle. * The candidate should have proven experience implementing AI/ML based data solutions to solve complex data management problems * The candidate should be able to demonstrate their work on real world projects with nice-to-have Skills AI, ETL tools like Apache airflow , Restful API design and development, Reporting/BI tool such as Microsoft Power BI , GIT Lab CICD and JIRA. * Design and develop scalable data processing workflows using Pyspark and Python * Write complex and performance optimized SQL queries * Perform data extraction, transformation and loading (ETL) * Troubleshoot and optimize Spark jobs for performance and stability * Work with large datasets and ensure data quality and reliability * Collaborate with cross-functional teams for requirements understanding and delivery * Follow coding standards, best practices, and documentation ## Description * Establish partnerships with source system data owners and reporting team (data users) to understand and document requirements related to the use and gain an understanding of the data, including scope of data, limitations, attribute definitions, and linkages to other datasets. * Strong Data Management, Data Modeling and Metadata Analysis skills. * Analyzes application requirements and develops conceptual, logical and first-cut physical database designs (data models). Creates associated data model documentation such as entity and attribute definitions and formats. * Assists in logical data designs to deliver stable and flexible high performance data solutions. Investigates and corrects data discrepancies by reconciling faulty codes. * Provides data element naming consistent with standards and conventions and ensures that data dictionaries are maintained across multiple database environments (mainframe, distributed systems). * Ensures data content/quality by planning and conducting moderately complex data warehouse system tests, monitoring test results and taking required corrective action. Acts as a liaison to data owners to establish necessary data stewardship responsibilities (accountability for a particular data element/verifying accuracy of the data element before loading it into the database) and procedures. * Analyzes and designs data models, logical databases and relational database definitions using both forward and backward engineering techniques. * Seeks opportunities to promote data sharing, and to reduce redundant data processes within the corporation by identifying common structures across application areas. * Ensure adherence to data quality standards. * Determine root cause for data quality errors and make recommendations for long-term solutions. * Good to have knowledge on Procurement, Third-party governance and vendor data. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)