Senior Data Engineer - Vice President - Morgan Stanley : Job Details

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DescriptionWe are looking for a highly skilled Senior Data Engineer to join our Risk Aggregation Data team. This role demands a unique blend of deep technical expertise in modern data engineering technologies and a strong understanding of financial domain processes and priorities. You'll play a critical role in designing scalable data infrastructure and delivering high-impact solutions that support our finance, risk and compliance operations.

DescriptionWe are looking for a highly skilled Senior Data Engineer to join our Risk Aggregation Data team. This role demands a unique blend of deep technical expertise in modern data engineering technologies and a strong understanding of financial domain processes and priorities. You'll play a critical role in designing scalable data infrastructure and delivering high-impact solutions that support our finance, risk and compliance operations.Key Responsibilities

• Design, build and maintain robust, scalable, and secure data pipelines for financial systems and reporting platforms.
• Develop and optimize ETL/ELT workflows, ensuring quality, accuracy, and performance.
• Architect and manage data models that support risk reporting and regulatory compliance.
• Collaborate with stakeholders across Finance, Risk, and Technology to translate business requirements into technical specifications.
• Leverage modern data platforms (cloud-based and on-prem) to implement data ingestion, orchestration, lineage, and governance solutions.
• Work with Data Governance and Security teams to ensure compliance with Risk Data privacy and security standards.
• Mentor junior engineers working across multiple time-zones and contribute to best practices in code quality, data architecture, and system design.
• Troubleshoot production data pipelines and systems, ensuring high availability and reliability.

Requirements

• 8+ years of data engineering experience, ideally in finance, fintech or enterprise data environments
• Expert in SQL and proficient in either Java/Scala/Python
• Experience in modern data platforms such as :
• Cloud :- AWS / Azure / Google
• Orchestration :- Custom models, Airflow, Camunda, etc
• Processing :- Kafka, Spark, Java, Python
• Warehousing :- Greenplum, Oracle, Snowflake, Databricks
• Strong understanding of Data Modelling principles – Dimensional and Big Data
• Experience with CI/CD, version control (GIT)

Domain Knowledge

• Solid Grasp Investment Banking and Risk concepts
• Ability to collaborate with Finance and Risk teams, and understand the impact of data on financial decision making

Soft Skills

• Strong Problem solving and analytical skills.
• Excellent communication skills to bridge technical and non-technical teams.
• Proven ability to lead complex projects and deliver in fast-paced, regulated environments.

What You Can Expect From Morgan StanleyWe are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 into your browser.Expected base pay rates for the role will be between $150,000 and $210,000 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 programsMorgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology

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