Vice President, Data Management Engineer

Posted 24 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Senior level
Fintech • Financial Services
The Role
The Vice President, Data Management Engineer will establish data partnerships, analyze requirements, design data models, ensure data quality, and develop data processing workflows.
Summary Generated by Built In

Vice President, Data Management 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, 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 of Vice President,Data Management Engineer to join our Enterprise Sourcing Office team. This role is located in PUNE

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

  • 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.

 

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

  • The candidate should have strong understanding of big data technology stack such as Snowflake, Cloudera Hadoop Ecosystem that includes HDFS, Yarn, Hive & Impala etc. 
  • The candidate should be a Python expert, SQL with Data Engineering capabilities. 
  • The candidate should be able to demonstrate their work on real world projects with nice-to-have Skills AI,   ETL tool 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
  • Build and optimize batch data pipelines on Hadoop based platforms
  • 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

 

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.


Skills Required

  • Strong understanding of big data technology stack
  • Expert in Python and SQL
  • Experience with data warehousing and data modeling
  • Knowledge of ETL tools and reporting tools
  • Ability to write complex SQL queries

BNY Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.

  • Healthcare Strength Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
  • Parental & Family Support Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
  • Retirement Support The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.

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The Company
HQ: New York, NY
41,739 Employees

What We Do

We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.

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