Senior Vice President, AI / Machine Learning Data Engineer
$126k - $210kBNY Mellon
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 #LifeAtBNY 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:
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.
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.
- 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.
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.
Vacancy posted 11 hours ago
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