The Data AI Engineering Specialist role is part of the Architecture & Modernization team at Morgan Stanley, focusing on building and maintaining the data infrastructure for Data AI platforms. This position requires hands-on development and collaboration with various stakeholders to ensure data accessibility and usability. The ideal candidate will be a self-starter with strong execution skills, capable of contributing to both current strategies and their evolution. The role emphasizes diversity and innovation within a hybrid work environment.

• 8 years or more of experience 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, including SQL and NoSQL.
• Experience working on Snowflake and Databricks.
• Familiarity with cloud platforms such as AWS or Azure.
• Understanding of data modeling and data architecture principles.
• Experience with data warehousing concepts and technologies.
• Experience with message queues and streaming platforms like Kafka.
• Experience with version control systems such as Git.
• Experience using Jupyter notebooks for data exploration and analysis.

• Develop and maintain data pipelines and ETL 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.
• Contribute to the documentation and knowledge sharing within the team.
• Participate in code reviews and contribute to the improvement of development processes.
• Contribute to the broader data architecture community through knowledge sharing and presentations.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.