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职位Morgan Stanley

Lead Data Engineer- Vice President - Data Engineering

Morgan Stanley

Lead Data Engineer- Vice President - Data Engineering

Morgan Stanley

Mumbai, Maharashtra, India

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On-site

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Full-time

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2mo ago

  • [Lead Data Engineer- Vice President - Data Engineering Profile Description We’re seeking someone to join our FRPPE Tech team as a Lead Data Engineer in Finance Technology to work on the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake.

About Finance Technology:Finance Technology at Morgan Stanley delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics.

The team leverages advanced data platforms, modern engineering practices, and is a pioneer in leveraging GenAI for finance productivity—building innovative solutions for automation and efficiency.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 Data Engineering, which is part of the job family responsible for developing and maintaining 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:Responsibilities:Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.

Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.

Collaborate with business stakeholders, technology partners, and cross-functional teams to define data strategy, requirements, and deliverables aligned with organizational goals.

Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.

Drive automation, data quality, and best practices across all data engineering processes and solutions.

Ensure robust data governance, security, and compliance throughout the data lifecycle.

Manage stakeholder relationships, communicate project status, and proactively address risks and challenges.

Champion the adoption of new technologies and methodologies to enhance data capabilities and business value.

What you’ll bring to the role:Required Skills:10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.At least 6 years' relevant experience would generally be expected to find the skills required for this role.

Deep expertise in SQL, data modeling, ETL, and building scalable data pipelines.

Mandatory: Strong domain and functional knowledge in finance, investment banking, or related industries.

Demonstrated experience leveraging GenAI, Copilot, or AI-based solutions for enterprise data, reporting, and analytics use cases, including design, code completion, review, and automated test case generation.

Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.

Proven ability to lead, motivate, and develop high-performing teams.

Excellent problem-solving, analytical, and communication skills.

Experience managing stakeholder relationships and delivering complex projects in a global environment.

Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.

Experience with automated testing and testing frameworks.

Additional Skills (Good to Have):Familiarity with Power BI, Apache Airflow, and OLAP tools.

Experience with Python, Shell scripting, and workflow automation.

Exposure to regulatory and financial reporting requirements.

Demonstrated track record of driving innovation and GenAI adoption in data engineering projects.

Passion for continuous learning, business impact, and solution-oriented leadership.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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关于Morgan Stanley

Morgan Stanley

Morgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.

10,001+

员工数

New York

总部位置

$150B

企业估值

评价

3.2

10条评价

工作生活平衡

2.5

薪酬

2.8

企业文化

3.8

职业发展

3.2

管理层

3.5

45%

推荐给朋友

优点

Nice and welcoming people/coworkers

Good career foundation and growth opportunities

Great management and benefits

缺点

Limited conversion to full-time positions

Poor compensation for junior employees

High turnover and branch politics

薪资范围

6,255个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

49份报告

$109,250

年薪总额

基本工资

$95,000

股票

-

奖金

-

$73,554

$143,750

面试经验

5次面试

难度

3.2

/ 5

时长

21-35周

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

HR Screen/HireVue

3

Technical Interview

4

Superday/Final Round

5

Offer Decision

常见问题

Technical Knowledge

Behavioral/STAR

Finance/Investment Concepts

Case Study

Culture Fit