Data Engineer – Director, Software Engineering

Overview

Data Engineer (Director, Software Engineering) for Morgan Stanley’s FORT (Finance Technology) team, supporting the FS analytics platform.

What you'll do

• Design and maintain Snowflake dimensional models (star and snowflake schemas).
• Build and optimize SQL transformations and views.
• Develop and support ELT/ETL pipelines from multiple source systems.
• Implement data quality checks, reconciliations, and validation controls.
• Manage core Snowflake objects including databases, schemas, warehouses, and stages.
• Improve Snowflake performance via query profiling, warehouse sizing, clustering strategy, and resource optimization.
• Use AI tools and Snowflake AI features, including Semantic Views, for delivery improvements.

What you'll need

• 5-10 years of professional experience in Snowflake and related technologies.
• Expertise in SQL, data modeling, ETL/ELT, and scalable data pipeline development.
• Experience with Snowflake advanced features including Snowflake AI/ML (Cortex Analyst/Agent), data sharing, and materialized views.
• Knowledge of Python for data processing (e.g., Pandas, NumPy, and/or SQL).
• Knowledge of GenAI, LLMs, and modern AI/ML techniques to drive adoption.
• Practical experience using AI assistants such as GitHub Copilot, Claude, Snowflake CoCo, or similar tools.
• Strong communication skills and ability to work independently and collaboratively in a fast-paced global environment.

Details

• Location: Mumbai, India.