Senior Vice President, AI / Machine Learning Data Engineer

BNY; Jersey City (NJ); On-site; USD 126,000 - 210,000; Full time

Benefits offered by this job

Generous paid leaves

Volunteer time off

Wellbeing programs

Job summary

BNY is seeking a senior Data Engineer in Jersey City to design, build, and optimize batch and streaming data pipelines that feed AI and analytics platforms. You will implement data modeling, lineage, metadata, and data quality controls to create trusted data assets and will lead orchestration across cloud and lakehouse environments.

You will collaborate with analytics, AI, business, and technology teams, mentor engineers, and promote best practices for distributed processing, testing,

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience.
• 9–11 years of experience in software development and data engineering; financial services experience is a plus.
• Strong experience building large-scale batch and streaming data pipelines and backend data environments.
• Deep expertise in Spark/Databricks, Kafka, SQL, and orchestration tools such as Airflow and/or dbt.
• Strong understanding of cloud and lakehouse architectures, distributed processing, and storage formats such as Parquet and Delta.
• Experience with data modeling, schema design, lineage, metadata, and data quality frameworks.
• Proven ability to improve performance, scalability, reliability, cost efficiency, and governance across data platforms.
• Strong stakeholder management, problem-solving, and technical leadership skills.

Responsibilities

• Design, build, and optimize batch and streaming data pipelines that deliver high-quality, governed data to AI, analytics, and enterprise platforms.
• Develop scalable transformation frameworks across cloud and lakehouse environments with a focus on reliability and cost efficiency.
• Implement data modeling, schema design, lineage, metadata, and data quality controls to create trusted data assets.
• Build and support orchestration and workflow automation for complex pipelines and dependencies using modern data engineering tools.
• Partner with analytics, AI, business, and technology teams to translate requirements into scalable data solutions.
• Resolve platform and pipeline issues related to performance and data quality; promote engineering best practices.

Skills

Data engineering

Data governance

Cloud architectures

Leadership

Education

Bachelor's degree or equivalent

Tools

Spark/Databricks

Kafka

Airflow

dbt

SQL

Job description

Job Description

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.

Job Description

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 is all about. Join us and be part of something extraordinary.

In this role you will Build robust batch/streaming data pipelines and transformations that ensure high‑quality, governed data flows into AI and analytics platforms. Implement data modeling, quality checks, lineage/metadata, performance optimization, and reliable orchestration across cloud and Lakehouse environments. The position is located in Jersey City, NJ.

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

• Design, build, and optimize batch and streaming data pipelines that deliver high‑quality, governed data to AI, analytics, and enterprise platforms.
• Develop scalable transformation frameworks across cloud and lakehouse environments with a strong focus on reliability, performance, and cost efficiency.
• Implement data modeling, schema design, lineage, metadata, and data quality controls to create trusted, reusable data assets.
• Build and support orchestration and workflow automation for complex pipelines and dependencies using modern data engineering tools.
• Partner with analytics, AI, business, and technology teams to translate requirements into scalable, secure, and governed data solutions.
• Resolve complex platform and pipeline issues related to performance, reliability, integration, and data quality.
• Promote engineering best practices in distributed processing, testing, monitoring, security, and continuous improvement.
• Provide technical leadership and mentoring while contributing to the adoption of modern data engineering and lakehouse capabilities.

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

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 9–11 years of experience in software development and data engineering; financial services experience is a plus.
• Strong experience building large‑scale batch and streaming data pipelines and backend data environments.
• Deep expertise in Spark/Databricks, Kafka, SQL, and orchestration tools such as Airflow and/or dbt.
• Strong understanding of cloud and lakehouse architectures, distributed processing, and storage formats such as Parquet and Delta.
• Experience with data modeling, schema design, lineage, metadata, and data quality frameworks.
• Proven ability to improve performance, scalability, reliability, cost efficiency, and governance across data platforms.
• Strong stakeholder management, problem‑solving, and technical leadership skills, including mentoring engineers and leading complex delivery.

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 $126,000 and $210,000 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.