# Engineering Manager, Data & Platform Engineering at Morgan Stanley

Morgan Stanley is hiring an Engineering Manager, Data & Platform Engineering. It pays $125k-$175k a year and Level rates it Little AI ●○○○; you can [apply on Morgan Stanley](https://jobsbylevel.com/go/03f66413-5fbe-479f-b0e4-a413ed333cb5?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. Alpharetta, Georgia, United States of America.

## Details

- Company: [Morgan Stanley](https://jobsbylevel.com/companies/morgan-stanley)
- AI level: AI Level 1 (score 10 out of 100)
- Location: Alpharetta, Georgia, United States of America
- Salary: $125k-$175k
- Posted: September 17, 2026
- Apply: https://jobsbylevel.com/go/03f66413-5fbe-479f-b0e4-a413ed333cb5?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=engineering-manager-data-platform-engineering-at-morgan-stanley-6cd3f4

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/engineering-manager-data-platform-engineering-at-morgan-stanley-6cd3f4

## Description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is an Engineering Manager, Data & Platform Engineering at Vice President level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. We’re looking for a hands-on Software and Data Engineering Manager to join our Cloud and Platform Security team. While the team operates in the cybersecurity domain, prior cybersecurity experience is not required. We’re looking for a strong engineering leader who can learn and apply the domain on the job. In this role, you'll sit at the intersection of software engineering, data, and large-scale platforms—translating complex, ambiguous business challenges into scalable, well-architected technical and data solutions. You'll be a force multiplier for the team: setting technical direction, managing engineers, remaining close to the technology, and partnering closely with product, engineering, security, and platform stakeholders to ensure our systems are reliable, maintainable, and built for scale. This is not just a hands-on engineering role—it requires someone who can think strategically, communicate across disciplines, and turn business intent into technical reality. A core part of this mission is using data to deliver curated, actionable guidance and intelligent prioritization directly to application teams, empowering them to make better and more impactful decisions faster. What you’ll do in the role: Technical Leadership Define and drive the technical strategy and roadmap for large-scale data products and platforms within the Cloud and Platform Security team. Architect end-to-end data pipelines and platforms that support high-volume data ingestion, processing, enrichment, analytics, and user-facing data products. Establish engineering standards, best practices, and patterns for software development, data ingestion, transformation, storage, APIs, observability, and access control. Remain hands-on and close to the technology through architecture and design reviews, code reviews, prototyping, and solving difficult engineering problems. Own key technical decisions and trade-offs, and communicate them clearly to both engineering and non-technical stakeholders. Problem Synthesis & Solution Design Partner with engineering, product, security, and compliance teams to deeply understand complex business and technical problems. Break down ambiguous, multi-faceted challenges and translate them into actionable, well-scoped technical solutions. Drive discovery and requirements processes—asking the right questions to surface the real problem before jumping to solutions. Design data products that turn complex datasets into useful insights, prioritization, recommendations, and experiences for end users. Execution & Delivery Lead and actively contribute to the design, development, and delivery of scalable software and data platforms. Build platforms that handle high-volume data such as events, logs, alerts, audit trails, and telemetry with reliability and low latency. Design systems that integrate data from heterogeneous sources and transform it into consistent, trustworthy, and actionable data products. Ensure data quality, observability, reliability, performance, and governance are first-class concerns across all systems. People & Collaboration Mentor and grow a team of software and data engineers through code reviews, design

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/engineering-manager-data-platform-engineering-at-morgan-stanley-6cd3f4

Source: https://jobsbylevel.com/jobs/engineering-manager-data-platform-engineering-at-morgan-stanley-6cd3f4

## Cite this page

Level. https://jobsbylevel.com/jobs/engineering-manager-data-platform-engineering-at-morgan-stanley-6cd3f4.

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