Data AI Engineer, Dir, P4
About The Position
Morgan Stanley is a global leader in financial services, known for its innovation and commitment to clients and communities worldwide. The Technology division focuses on building connections and capabilities that power the firm, enabling innovation in AI. The mission is to develop a firmwide AI Development Platform that aligns with technology principles, drives efficiency, security, and governance, and promotes AI adoption across businesses. As a Data AI Engineering Specialist within the Architecture & Modernization team, you will be responsible for building and maintaining the data infrastructure for Data AI platforms. This role involves hands-on development, data pipeline creation, and collaboration with stakeholders. The position requires a self-starter with strong execution skills and the ability to work independently, contributing to the evolution of the strategy. The company values diversity and is committed to building a diverse team. This is a hybrid position requiring a minimum of three days per week in the office, based in NYC, with a potential for a Montreal location for qualified Canadian candidates.
Requirements
- 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.
- 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 Haves
- Experience on Snowflake Cortex will be really appreciated.
- 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.
Responsibilities
- 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.
Benefits
- Ample opportunity to move about the business for those who show passion and grit in their work.
- Support for 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.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
