Morgan Stanley · 13 hours ago
Senior Data Engineer - Vice President
Morgan Stanley is a leading global financial services firm, providing investment banking, securities, wealth management, and investment management services. They are seeking a Lead Data Engineer at the Vice President level to drive decision-making and business insights by crafting data pipelines, implementing data models, and optimizing data processes while leveraging machine learning and AI techniques.
Asset ManagementFinanceFinancial ServicesLending
Responsibilities
Lead the design, development, and implementation of enterprise-scale data warehouse, reporting, and analytics solutions, preferably on cloud platforms such as Snowflake
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
Qualification
Required
10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions
Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines
Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools
Strong hands-on experience with Python, Shell scripting, and workflow automation
Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases
Proven ability to lead, motivate, and develop high-performing teams
Strong domain and functional knowledge in finance, investment banking, or related industries
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
Preferred
Familiarity with Power BI, Apache Airflow, and OLAP tools
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
Benefits
Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
H1B Sponsorship
Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
Recent News
2026-02-04
2026-02-04
2026-02-02
Company data provided by crunchbase