Data & Analytics Software Engineering Lead
About Morgan Stanley
Data & Analytics Software Engineering Lead
Elevate your career at Morgan Stanley as the Software Engineering Lead for Data & Analytics Platforms in Finance Technology. Propel architecture and cloud solutions while leading a talented team.Based in Montreal, this hybrid position emphasizes the architecture and delivery of scalable software systems using Java, Python, Angular, and React. You will be responsible for advancing cloud data capabilities and implementing GenAI tools to improve processes within the software development lifecycle.
Key Responsibilities:
• Lead architecture and design of enterprise software systems
• Develop cloud-based analytics via scalable pipelines
• Advocate for GenAI adoption in software development processes
• Mentor teams to enhance technical collaboration and innovation
• Work with stakeholders to identify strategic solutions
Requirements:
• Over 10 years in software engineering with a focus on data platforms
• Full-stack development expertise in Java, Python, Angular, or React
• Proven ability to build scalable applications in the cloud
• Proficient in SQL, data ETL, and pipeline management
• Experience with GenAI or Copilot-style tooling for automation
Utilize your expansive skills to drive innovative solutions for Morgan Stanley's finance technology initiatives.
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