Senior Vice President, Data Platform 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 of Senior Vice President, Data Platform Engineer to join our Wealth Services Data team. This role is located in Jersey City, NJ. In this role, you'll make an impact in the following ways:
- Architect streaming data ingestion and integration with downstream systems
- Implement AI-driven controller to orchestrate tens of millions of streams and micro-batches
- Design AI-powered onboarding of new data sources
- Develop AI-powered compute engine and data serving layer
- Deliver scalable cloud data services and APIs with sub-second response times over petabytes of data
- Develop a unified alerting and monitoring framework supporting streaming transformations and compute across thousands of institutional clients and hundreds of external data sources
- Build a self-service data management and operations platform
- Implement a data quality monitoring framework
To be successful in this role, we're seeking the following:
- Bachelor's degree in Computer Science, related field; advanced degree preferred
- Minimum 10-14 years of experience in data technology
- At least 5 years as a Data Engineer with hands-on experience in cloud environments
- 5+ years of Python programming focused on data processing and distributed systems
- 5+ years working with relational databases, SQL, dimensional modeling, and DBT
- 5+ years designing and administering cloud-based data warehousing solutions (e.g., Snowflake, Databricks)
- 5+ years experience with Kafka or other streaming platforms
- Experience with Java, Oracle, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus
- Strong leadership abilities and excellent communication skills
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.
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $116,000 and $200,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (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.
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