Morgan Stanley
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Senior Data Engineer - Vice President
role at
Morgan Stanley Join to apply for the
Senior Data Engineer - Vice President
role at
Morgan Stanley Get AI-powered advice on this job and more exclusive features. Description
We 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. Description
We 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 Stanley
We 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 https://www.morganstanley.com/about-us/global-offices 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 programs
Morgan 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 level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Referrals increase your chances of interviewing at Morgan Stanley by 2x Sign in to set job alerts for “Senior Data Engineer” roles.
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Senior Data Engineer - Vice President
role at
Morgan Stanley Join to apply for the
Senior Data Engineer - Vice President
role at
Morgan Stanley Get AI-powered advice on this job and more exclusive features. Description
We 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. Description
We 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 Stanley
We 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 https://www.morganstanley.com/about-us/global-offices 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 programs
Morgan 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 level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Referrals increase your chances of interviewing at Morgan Stanley by 2x Sign in to set job alerts for “Senior Data Engineer” roles.
New York City Metropolitan Area $200,000.00-$220,000.00 16 hours ago Senior Data Analyst, LUS Revenue Reporting
New York, NY $128,000.00-$160,000.00 1 week ago New York, NY $105,000.00-$120,000.00 1 month ago New York, NY $150,000.00-$160,000.00 1 month ago Jersey City, NJ $153,000.00-$196,000.00 3 weeks ago Sr. Data Engineer - Market and Credit Risk
New York City Metropolitan Area $150,000.00-$210,000.00 4 weeks ago Jersey City, NJ $102,000.00-$221,000.00 1 month ago Healthcare Data Architect / Sr. Data Engineer
New York, NY $200,000.00-$222,000.00 2 months ago Jersey City, NJ $102,000.00-$221,000.00 5 hours ago Jersey City, NJ $142,320.00-$213,480.00 4 days ago Data and Reporting Senior Business Analyst
New York, NY $176,720.00-$265,080.00 1 week ago Jersey City, NJ $110,000.00-$134,000.00 1 week ago New York, NY $125,000.00-$150,000.00 1 week ago New York City Metropolitan Area $175,000.00-$195,000.00 5 days ago Senior Software Engineer - BLAW Contracts Drafting
New York, NY $160,000.00-$240,000.00 6 days ago New York, NY $140,000.00-$170,000.00 2 weeks ago New York, NY $135,000.00-$175,000.00 6 days ago Senior Software Engineer - Buy-Side Violation Manager
New York, NY $160,000.00-$240,000.00 3 days ago New York, NY $180,000.00-$230,000.00 3 weeks ago Senior Engineer Identity & Access Management
Parsippany, NJ $115,000.00-$155,000.00 1 week ago New York, NY $105,100.00-$189,600.00 12 hours ago New York, NY $84,000.00-$97,000.00 6 days ago Data and Integration Solutions Architect, Senior
New York, NY $140,000.00-$160,000.00 2 weeks ago Senior Staff Software Engineer, Customer Experience
New York, NY $220,000.00-$250,000.00 1 day ago New York, NY $65,000.00-$76,400.00 4 days ago Data Technical Architect, MongoDB Sharding - US Remote
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr