Lead Data Engineer- Vice President Data Engineering

Morgan Stanley

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 21 hours ago
Vacancies: 1 Vacancy

Job Summary

Lead Data Engineer- Vice President- Data Engineering

Profile Description

Were 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 productivitybuilding 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 fordeveloping 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 youll 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 youll 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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres 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 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.


Required Experience:

Exec

Lead Data Engineer- Vice President- Data EngineeringProfile DescriptionWere 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 o...
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Key Skills

  • React Native
  • AI
  • Enterprise Software
  • React
  • Node.js
  • Redis
  • AWS
  • Software Development
  • IOS
  • Team Management
  • Product Development
  • Mobile Applications

About Company

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Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1, ... View more

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