
Leading company in the financial services industry
ETL Infrastructure Engineer – Vice President – Software Engineering
필수 스킬
Python
Linux
ETL Infrastructure Engineer – Vice President – Software Engineering Profile Description
We are seeking a highly experienced Lead/Principal Software Engineer to drive the evolution of our Finance Infrastructure ETL platform. In this role, you will provide technical leadership for the design, modernization, and scalability of our enterprise data processing ecosystem. The ideal candidate brings deep expertise in Python, object oriented architecture, enterprise grade frameworks, and cloud data technologies, with a strong focus on Snowflake and other cloud native database solutions. This position requires a hands on engineering leader capable of influencing architecture, guiding engineering best practices, and delivering robust, high performance data ingestion capabilities across the Finance Technology landscape.
**About Super Department: **
FINANCE Technology (FINTECH) provides innovative solutions for regulatory and financial reporting, general ledger, profit & loss calculations, securities bookkeeping, budgeting & forecasting, and tax filing. The group leverages a state-of-the-art multi-terabyte financial data warehouse as one of its main assets to service the Firm’s Finance division
Finance Infrastructure (FI) Technology group
The Finance Infrastructure (FI) Technology group manages the firm’s Finance Technology platform, encompassing database engineering across Teradata, Snowflake, and other environments; data ingestion and ETL engineering for inhouse systems; SDLC and environment management; cloud enablement; and reference data management.
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 a Lead Software Engineering position at Vice President Level, which is part of the job family responsible for developing and maintains software solutions that support business needs.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you’ll do in the role:
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Own end-to-end technical direction for a data ingestion platform (ETL and streaming), ensuring scalability, performance, reliability, and maintainability.
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Design and deliver complex software solutions using strong object-oriented design principles and pragmatic architecture patterns.
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Lead and mentor a small engineering team: coaching, code reviews, technical guidance, and delivery accountability.
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Drive engineering best practices across the team, including TDD, coding standards, observability, documentation, and operational readiness.
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Guide CI/CD strategy and implementation to improve release consistency, deployment safety, and environment reproducibility.
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Troubleshoot and debug applications in UNIX/Linux environments, including hands-on support for production issues and root-cause analysis.
What you’ll bring to the role:
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8+ years of relevant software engineering experience, including ownership of complex systems in production environments.
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At least 6 years' relevant experience would generally be expected to find the skills required for this role.
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Strong programming skills in Python (preferred) or Java, with deep understanding of OOP, design patterns, and clean architecture.
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If primary language is Java, working knowledge of Python and familiarity with the PyPI ecosystem is expected.
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Proven experience designing, developing, and operating enterprise systems.
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Strong hands-on experience with RDBMS and SQL (e.g., DB2, PostgreSQL, Sybase) and data modeling/query performance concepts.
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Proficiency in Linux/UNIX, including command-line usage and shell scripting for automation.
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Practical experience building and maintaining CI/CD pipelines, with strong understanding of release processes and quality gates.
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Demonstrated use of TDD and/or disciplined automated testing practices in real-world delivery.
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Experience with modern SDLC methodologies, including Agile.
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Strong written and verbal communication skills, including the ability to translate complex technical topics for non-technical stakeholders.
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Experience mentoring, leading, or managing a small engineering team (directly or through technical leadership).
Preferred (Nice-to-Have) Qualifications
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Experience with MPP databases (e.g., Teradata, Greenplum).
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Exposure to Snowflake and/or cloud platforms and services.
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Experience with Big Data and non-relational platforms (e.g., Hadoop, MongoDB).
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Familiarity with DevOps tooling and automated change management processes.
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Experience with scheduling/automation tooling and scripting (e.g., Auto Sys, UNIX shell, Perl) for DevOps automation.
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Strong computer science foundation, including complexity analysis and performance optimization.
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Experience in financial services, especially accounting/finance-related data domains.
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Understanding of business reporting concepts, data design, and data science fundamentals.
Leadership Expectations
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Sets a high technical bar through example—hands-on contribution, high-quality reviews, and thoughtful architecture decisions.
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Builds team capability through coaching, mentorship, and clear technical direction.
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Promotes an engineering culture focused on reliability, transparency, continuous improvement, and measurable outcomes.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
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.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
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Morgan Stanley 소개

Morgan Stanley
PublicMorgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.
10,001+
직원 수
New York
본사 위치
$150B
기업 가치
리뷰
10개 리뷰
4.1
10개 리뷰
워라밸
2.8
보상
4.2
문화
3.7
커리어
4.1
경영진
2.9
75%
지인 추천률
장점
Great learning opportunities and experience
High salary and bonuses
Good team dynamics and supportive colleagues
단점
Long hours during peak times
High stress and overwhelming environment
Work-life balance issues
연봉 정보
6,221개 데이터
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
49개 리포트
$109,250
총 연봉
기본급
$95,000
주식
-
보너스
-
$73,554
$143,750
면접 후기
후기 6개
난이도
3.2
/ 5
소요 기간
21-35주
면접 과정
1
Application Review
2
HR Screen/HireVue
3
Technical/Behavioral Interviews
4
Superday/Final Round
5
Onsite Interview
6
Offer Decision
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Investment/Finance Concepts
Case Study
Culture Fit
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