VP Backend Data Platform Engineer

Morgan Stanley; 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 that support critical business and regulatory workloads. The role combines deep technical expertise with engineering leadership to deliver scalable systems and pipelines.

You will architect backend solutions, collaborate with product owners and data engineers, and drive best practices in testing, CI/CD, and operational excellence.

Qualifications

• Bachelor’s or master's degree in CS, Engineering, IT, or related field.
• Experience building backend services for large-scale data platforms.
• Strong programming in Python and distributed data processing.

Responsibilities

• Design, develop, and maintain scalable backend applications and services.
• Build high-performance distributed data processing solutions and big data frameworks.
• Develop scalable data pipelines for ingestion, transformation, and consumption.
• Lead architecture discussions and define long-term technical roadmaps.
• Mentor junior engineers and promote engineering best practices.

Skills

Python

PySpark

Big Data

Snowflake

Graph Tech

System Architecture

Microservices

CI/CD

DevOps

AI-assisted development

Education

Bachelor's or Master's in Computer Science/Engineering or related field

Tools

Spark

Hadoop

Kafka

Databricks

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 that support critical business and regulatory workloads. The role combines deep technical expertise with engineering leadership to deliver scalable systems and pipelines.

You will architect backend solutions, collaborate with product owners and data engineers, and drive best practices in testing, CI/CD, and operational excellence.