Morgan Stanley

Data AI Engineer, Dir, P4

Morgan Stanley$150K — $190K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in data engineering or a related field.
  • Proficiency in Python programming.
  • Experience with Apache Spark or Hadoop frameworks.
  • Knowledge of SQL and NoSQL databases.
  • Experience with Snowflake and Databricks.

Responsibilities

  • Develop and maintain ETL processes and data pipelines.
  • Ensure accessibility and usability of structured and unstructured data.
  • Optimize data systems for scalability and performance.
  • Implement data quality and governance standards.
  • Collaborate with various technology and business units to meet data needs.
  • Document processes and create training materials for the team.
  • Participate in code reviews to enhance development practices.

Benefits

  • Hybrid work model requiring in-office presence three days a week.
  • Comprehensive employee benefits and perks.
  • Support for employees at all stages of their work-life journey.
  • Opportunities for mobility across the business.
  • Commitment to diversity and inclusion in the workplace.
Full Job Description
Position Overview
As a Data AI Engineering Specialist within the Architecture & Modernization team, you will be instrumental in building and maintaining the data infrastructure for our Data AI platforms. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.

This is a hybrid position requiring a minimum of three days per week in the office. The role is based in NYC, and may also be based in Montreal for qualified candidates in Canada.

What you'll do in the role
  • Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.
  • Work with structured and unstructured data to ensure it is accessible and usable.
  • Optimize data systems for performance and scalability.
  • Implement data quality and data governance standards.
  • Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.
  • Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.
  • Participate in code reviews and contribute to the improvement of development processes.
  • Contribute to the broader data architecture community through knowledge sharing, presentations.


What you'll bring to the role
  • 8 years+ of being a practitioner in data engineering or a related field.
  • Proficiency in programming skills in Python
  • Experience with data processing frameworks like Apache Spark or Hadoop.
  • Knowledge of database systems (SQL and NoSQL).
  • Experience working on Snowflake and Databricks.
  • Experience on Snowflake Cortex will be really appreciated.
  • Familiarity with cloud platforms (AWS, Azure) and their data services.
  • Understanding of data modeling and data architecture principles.
  • Experience with data warehousing concepts and technologies.
  • Experience with message queues and streaming platforms (e.g., Kafka).
  • Experience with version control systems (e.g., Git).
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a geographically distributed team.


Nice to have
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with data governance and security best practices (e.g., data access control, data masking).
  • Experience with Agile methodologies.
  • Familiarity with data catalog and metadata management tools (e.g., Collibra).
  • Familiarity with CI/CD pipelines and DevOps practices.


Expected base pay rates for the role will be between $150,000 to $190,000 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.

About Morgan Stanley

Morgan Stanley Investment Management are active managers of capital, working to outperform the market and deliver results for their clients. Morgan Stanley Investment Management's long-tenured professionals apply their experience and expertise across public and private markets, in single-sector, multi-asset and custom solutions.

Morgan Stanley Careers

Joining Morgan Stanley today means becoming part of a global team dedicated to strengthening communities, pioneering innovation, and fostering diversity. As a leading global financial services firm, Morgan Stanley offers unparalleled job opportunities, career growth, and a culture of leadership that together create an exceptional employment experience. Work You’ll Do At Morgan Stanley, you will collaborate with knowledgeable professionals to drive innovation and deliver solutions in financial services. Our team is composed of diverse, talented individuals who bring their unique skills and perspectives to work every day, setting the standard for leadership in the global market. Morgan Stanley is not just a company; it's a place where ambitious, creative, and skilled individuals can build a rewarding career. Here, you can experience the benefits of a vibrant culture dedicated to professional growth and diversity training. Internship Programs Kickstart your career with Morgan Stanley’s internship programs. These positions offer invaluable industry insights and professional experience to students and recent graduates. Interns at Morgan Stanley gain hands-on experience, working alongside seasoned experts in a dynamic, supportive environment. Innovation and Professional Growth We believe in the power of innovation to solve complex problems and encourage our team to think differently and act boldly. Morgan Stanley supports your career development through comprehensive training, development programs, and leadership workshops, ensuring that every employee has the tools they need to succeed. Join Our Team Explore the various job opportunities at Morgan Stanley, from entry-level positions to executive roles. We are hiring individuals who are passionate about finance and eager to contribute to a team that values integrity, excellence, and a forward-thinking mindset. Enhance your skills through our networking events, mentorship opportunities, and ongoing professional development. Stay Connected Keep up to date with the latest from Morgan Stanley Careers by subscribing to our job alert emails. Tailor your preferences to receive updates about new postings, career tips, and exclusive insights from our team leaders. Apply Now Ready to take the next step in your career? Search open positions that match your skills and interests on the Morgan Stanley Jobs portal. Prepare your resume, refine your interview techniques, and join a company that values innovation and leadership. At Morgan Stanley, we’re not just building careers—we’re developing leaders. Discover how far your talents can take you by joining our team today.
Learn more about Morgan Stanley
Size
77,000 employees
Market Cap
$144.1 billion
Industry
Net Income
$10.9 billion
Founded
1935
5 Year Trend
+10%
Revenue
$52 billion
NASDAQ

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