Vice President, Full-Stack Engineer

Posted 3 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Expert/Leader
Fintech • Financial Services
The Role
Design and implement enterprise Snowflake data platforms, architect ingestion/transformation pipelines (Snowpipe, dbt, tasks), enforce governance and RBAC, enable secure data sharing, optimize medallion architecture, and support AI use cases including RAG, LangChain, and vector DB integrations while partnering with cross-functional stakeholders.
Summary Generated by Built In

We’re seeking a future team member for the role of Senior Data Analyst to join our People Engineering team. This role is in Pune

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

  • Architect, design, and implement enterprise-scale Snowflake solutions that support secure, scalable, and high-performance data platforms aligned with business and technology strategy.

  • Lead the design and optimization of data ingestion, transformation, and orchestration pipelines using Snowpipe, dbt, stored procedures, tasks, and dynamic tables to enable reliable and efficient delivery of data products.

  • Define and implement medallion architecture across bronze, silver, and gold layers, leveraging Snowflake-native features such as materialized views to improve performance, reusability, and data accessibility.

  • Enable secure and governed data sharing across internal and external stakeholders through Snowflake Marketplace and other Snowflake sharing capabilities, while maintaining strong controls around access and compliance.

  • Drive adoption of enterprise data governance, security, and quality standards by implementing role-based access control (RBAC), metadata management, lineage, and data quality practices in alignment with organizational expectations.

  • Partner with cross-functional stakeholders including engineering, architecture, governance, and business teams to define scalable data models and architecture patterns that support both current and future business needs.

  • Support emerging AI and advanced analytics use cases by contributing to architectures that integrate structured and unstructured data, including solutions involving AI chatbots, retrieval-augmented generation (RAG), LangChain, and vector databases.

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

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related discipline; B. Tech or equivalent degree preferred.

  • Extensive experience designing and implementing Snowflake-based data platforms and architectures in enterprise environments.

  • Strong hands-on experience of 10+ years with Snowflake data ingestion patterns including Snowpipe, and secure data sharing capabilities including Snowflake Marketplace.

  • Proven expertise in data transformation and pipeline development using dbt, Snowflake stored procedures, tasks, and dynamic tables.

  • Deep understanding of data modeling, data products, metadata management, business and technical metadata, data lineage, and data quality principles.

  • Strong experience implementing data security and governance controls including RBAC and enterprise governance tooling such as Collibra.

  • Good understanding of cloud platforms such as AWS or Azure and their integration with Snowflake ecosystems.

  • Familiarity with modern AI/data solution patterns including AI chatbots, RAG pipelines, LangChain, and vector databases.

  • Strong communication, collaboration, and stakeholder management skills, with the ability to translate business needs into scalable technical solutions.


About Us

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. About the Team

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

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline
  • B.Tech or equivalent degree
  • Extensive experience designing and implementing Snowflake-based data platforms in enterprise environments
  • 10+ years hands-on experience with Snowflake data ingestion patterns including Snowpipe and secure sharing (Snowflake Marketplace)
  • Proven expertise in data transformation and pipeline development using dbt, Snowflake stored procedures, tasks, and dynamic tables
  • Deep understanding of data modeling, data products, metadata management, lineage, and data quality principles
  • Experience implementing data security and governance controls including RBAC and enterprise governance tooling such as Collibra
  • Good understanding of cloud platforms such as AWS or Azure and their integration with Snowflake
  • Familiarity with modern AI/data solution patterns including AI chatbots, RAG pipelines, LangChain, and vector databases
  • Strong communication, collaboration, and stakeholder management skills

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.

BNY Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Similar Jobs

BNY Logo BNY

Full-stack Engineer

Fintech • Financial Services
In-Office
Pune, Mahārāshtra, IND
41739 Employees

BNY Logo BNY

Full-stack Engineer

Fintech • Financial Services
In-Office
Pune, Mahārāshtra, IND
41739 Employees

BNY Logo BNY

Full-stack Engineer

Fintech • Financial Services
In-Office
Pune, Mahārāshtra, IND
41739 Employees

BNY Logo BNY

Full-stack Engineer

Fintech • Financial Services
In-Office
Pune, Mahārāshtra, IND
41739 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account