Data Engineer Snowflake _Director _Software Engineering
Morgan Stanley (company site, opens in a new tab)8–10 yrsMumbaiOn-siteDirect career pageEst. 40–70 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, maintain, and optimize Snowflake dimensional models and SQL transformations supporting the FS analytics platform revenue.
- Develop and support ELT/ETL pipelines from multiple source systems including quality checks and validation controls.
- Manage and improve Snowflake core objects and performance using advanced features including AI and Semantic Views for measurable delivery improvements.
Minimum Requirements
- 5-10 years of professional experience with Snowflake and related technologies with strong SQL and data modeling skills.
- Experience with Snowflake advanced features such as AI/ML integrations, data sharing, and materialized views.
- Knowledge of Python for data processing (e.g., Pandas, NumPy) and familiarity with GenAI, LLMs, and AI assistant tools like GitHub Copilot or similar.
- Work Experience Required: At least 8 years relevant experience expected; notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experience operating at Director level with ownership of scalable, high-impact data platform components in financial services or technology-driven environments.
- Strong technical expertise in Snowflake including advanced AI/ML features and practical adoption of generative AI tools in professional workflows.
- Proven ability to independently improve platform performance and deliver measurable business value while supporting business growth and competitive positioning.