Lead Data Engineer- Vice President - Data Engineering

Morgan Stanley

Mumbai, India
Enterprise-scale data warehouse solutions
Cloud data platforms (snowflake preferred)
Sql, data modeling, etl expertise
Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise

Job Summary

  • Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.
  • Provide technical leadership and mentorship to a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
  • Champion modern SDLC practices, including automated testing, CI/CD, and agile methodologies, to ensure high-quality, scalable, and maintainable solutions.

Matching Summary

Drive the adoption and integration of GenAI, LLMs, and modern AI/ML techniques for ETL automation, data enrichment, reporting commentary, and intelligent data distribution across the enterprise.

Skills & Requirements

Must-have

  • Enterprise-scale data warehouse solutions
  • Cloud data platforms (Snowflake preferred)
  • SQL, data modeling, ETL expertise
  • GenAI, LLMs for data automation
  • Modern SDLC, CI/CD, Agile
  • Data governance and security

Nice-to-have

  • Driving innovation and GenAI adoption
  • Solution-oriented leadership
  • Continuous learning and business impact
  • Passion for technology

Key Requirements

  • 10+ years data engineering experience
  • 6+ years relevant experience
  • Strong finance domain knowledge
  • Experience with GenAI/Copilot
  • Proven team leadership skills
  • Experience with automated testing

Work Rights

Not specified

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