SVP AI/ML Data Engineer

Salary: $126,000 - 210,000 per year Requirements: We require a bachelors degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. We seek 9-11 years of experience in software development and data engineering; experience in financial services is a plus. We need strong hands-on experience building large-scale batch and streaming data pipelines and backend data environments. We require deep expertise in Spark/Databricks, Kafka, SQL, and orchestration tools such as Airflow and/or dbt. We need a strong understanding of cloud and lakehouse architectures, distributed processing, and storage formats such as Parquet and Delta. We look for experience with data modeling, schema design, lineage, metadata, and data quality frameworks. We value a proven ability to improve performance, scalability, reliability, cost efficiency, and governance across data platforms. We seek strong stakeholder management, problem-solving, and technical leadership skills, including mentoring engineers and leading complex delivery. Responsibilities: We design, build, and tune batch and streaming data pipelines that provide high-quality, governed data to AI, analytics, and enterprise platforms. We develop scalable transformation frameworks across cloud and lakehouse environments with a focus on reliability, performance, and cost efficiency. We implement data modeling, schema design, lineage, metadata, and data quality controls to create trusted, reusable data assets. We build and support orchestration and workflow automation for complex pipelines and dependencies using modern data engineering tools. We partner with analytics, AI, business, and technology teams to turn requirements into scalable, secure, and governed data solutions. We resolve complex platform and pipeline issues related to performance, reliability, integration, and data quality. We promote engineering best practices in distributed processing, testing, monitoring, security, and continuous improvement. We provide technical leadership and mentoring while helping advance modern data engineering and lakehouse capabilities. Technologies: AI Airflow Backend Cloud Databricks Support Kafka SQL Security Spark dbt More: We are BNY, a leading global financial services company at the center of the global financial system, influencing nearly 20% of the worlds investible assets. Our culture supports stronger business performance and helps our employees grow and succeed. We are recognized as a destination for innovators, where advanced technology, AI, and exceptional talent come together to deliver transformative solutions for clients and communities worldwide. This role is based in Jersey City, NJ. We offer highly competitive compensation, benefits, and wellbeing programs, along with flexible global resources, generous paid leave, and paid volunteer time. Our total rewards package may include base pay, commissions, discretionary bonuses, and short- and long-term incentives. last updated 36 week of 2026