VP Backend Engineer: Data Platforms & AI

474 MS Services Group, Inc.; New York (NY); On-site; USD 155,000 - 215,000; Full time

Job summary

Morgan Stanley is seeking a Vice President Backend Software Developer to design, build, and scale enterprise-grade data platforms and backend services for critical business workloads. You will collaborate with product owners, data engineers, and stakeholders to deliver scalable, high-performance solutions with strong engineering practices.

Responsibilities include leading architecture discussions, developing real-time and batch processing, and mentoring engineers while advancing AI-assisted

Qualifications

• Bachelor’s or master’s degree in computer science, engineering, IT, or related field.
• 8+ years of software engineering experience with a strong backend focus.
• Expert-level Python programming.
• Strong experience with PySpark and distributed data processing.
• Experience with Big Data technologies (Spark, Hadoop, Kafka, Databricks, Delta Lake).
• Strong expertise in Snowflake architecture, data modeling, and performance optimization.
• Experience designing and implementing large-scale data pipelines and data platforms.
• Experience with Graph Technologies and graph-based data solutions.
• Strong understanding of System Architecture, Microservices, Event-Driven Architectures, and Distributed Systems.
• Knowledge of CI/CD, DevOps, testing frameworks, and software delivery best practices.
• Experience using AI developer tools and AI-assisted engineering practices.

Responsibilities

• Design, develop, and maintain scalable backend applications and services.
• Build high-performance distributed data processing solutions and big data frameworks.
• Develop reusable frameworks, APIs, and platform services for enterprise applications.
• Drive design and implementation of real-time and batch processing architectures.
• Design and implement robust data pipelines for ingestion, transformation, validation, and consumption.
• Develop scalable solutions using Snowflake and modern cloud-based data platforms.
• Optimize large-scale data processing workloads for performance, reliability, and cost.
• Support data governance, lineage, observability, and data quality initiatives.
• Lead system architecture discussions and define long-term technical roadmaps.
• Produce architecture/design documentation and evaluate technologies to improve platforms.
• Ensure solutions meet security, resiliency, scalability, and regulatory requirements.
• Mentor junior engineers and promote engineering excellence.
• Leverage AI-assisted development tools to improve productivity and code quality.

Skills

Python

PySpark

Big Data

Snowflake

Graph Technologies

System Architecture

Microservices

CI/CD

DevOps

AI-assisted development

Education

Bachelor%27s degree in Computer Science or related field

Master%27s degree (preferred)

Tools

Snowflake

Databricks

Kafka

Spark

Delta Lake

Job description

Morgan Stanley is seeking a Vice President Backend Software Developer to design, build, and scale enterprise-grade data platforms and backend services for critical business workloads. You will collaborate with product owners, data engineers, and stakeholders to deliver scalable, high-performance solutions with strong engineering practices.

Responsibilities include leading architecture discussions, developing real-time and batch processing, and mentoring engineers while advancing AI-assisted