27d ago
New

Engineering Manager, Data & Platform Engineering

United StatesUnited States·Alpharettamid
EngineeringEngineering Manager
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Quick Summary

Key Responsibilities

Technical Leadership Define and drive the technical strategy and roadmap for large-scale data products and platforms within the Cloud and Platform Security team.

Technical Tools
EngineeringEngineering Manager

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. 

Responsibilities

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    Define and drive the technical strategy and roadmap for large-scale data products and platforms within the Cloud and Platform Security team.

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    Architect end-to-end data pipelines and platforms that support high-volume data ingestion, processing, enrichment, analytics, and user-facing data products.

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    Establish engineering standards, best practices, and patterns for software development, data ingestion, transformation, storage, APIs, observability, and access control.

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    Remain hands-on and close to the technology through architecture and design reviews, code reviews, prototyping, and solving difficult engineering problems.

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    Own key technical decisions and trade-offs, and communicate them clearly to both engineering and non-technical stakeholders.

  • 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.

  • 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.

  • Mentor and grow a team of software and data engineers through code reviews, design discussions, and ongoing technical coaching.

  • Foster a culture of engineering excellence, accountability, and continuous improvement.

  • Act as a trusted technical advisor to cross-functional partners, representing the team in architectural reviews and strategic planning discussions.

  • Experience in software engineering and/or data engineering, with at least 2 years in a tech lead or people manager role.

  • Strong software engineering fundamentals and the ability to remain technically engaged while leading a team.

  • Proven ability to take complex, ambiguous business problems and synthesize them into clear, elegant, at-scale technical solutions.

  • Demonstrated experience building data products that deliver actionable insights or guidance to end users—not just pipelines for pipelines' sake.

  • Demonstrated experience designing, building, and operating large-scale distributed systems, data platforms, or data-intensive applications.

  • Hands-on experience with modern software and/or data engineering technologies and practices.

  • Experience building and operating production systems in modern cloud environments.

  • At least 7 years of relevant engineering experience would generally be expected to have developed the skills required for this role.

Nice to Have

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  • Experience building developer-facing tooling, platforms, or data products that guide application teams toward better outcomes.

  • Experience with high-volume event, telemetry, observability, or analytics platforms.

  • Hands-on experience with data engineering at scale.

  • Experience with cloud-native technologies and services.

  • Background working in regulated industries or with compliance-driven data requirements.

  • Experience in cybersecurity, including Cloud Security, Platform Security, AppSec, vulnerability management, or a related domain is helpful but not required.

  • Familiarity with vulnerability management concepts such as CVEs, CVSS, and EPSS is helpful but not required.

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $125,000 and $175,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Location & Eligibility

Where is the job
Alpharetta, United States
On-site at the office
Who can apply
US

About this job

Who can apply
United States
Posted
27 days ago
Employer
has 1,389 open jobs on Jobera in 18 countries.

Listing Details

Posted
September 18, 2026
First seen
October 12, 2026
Last seen
October 15, 2026

Posting Health

Days active
3
Repost count
0
Trust Level
14%
Scored at
October 15, 2026

Signal breakdown

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Engineering Manager, Data & Platform Engineering