Data AI Engineer, Dir, P4

Position Overview

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.

What You Can Expect From Morgan Stanley

• 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.
• The company is committed to building and maintaining a workforce that is diverse in experience and background.
• Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.
• The company offers 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 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.