BNY is looking to enhance its Wealth Services Engineering team by hiring a Vice President, Full-Stack Engineer to architect and implement advanced data solutions, including AI-driven systems for data ingestion, orchestration, and management, to support a large scale of data and institutional clients.
Requirements
- 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
- Exposure to AI based advance techniques and tools
- Strong understanding of database fundamentals, including data modeling, advanced SQL development and optimization, ELT/ETL processes and DBT.
Responsibilities
- 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 semantic 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
Other
- Strong leadership abilities and excellent communication skills
- Bachelor’s degree in Computer Science, related field; advanced degree preferred
- Minimum 6-12 years of experience in data technology
