Software Engineering Lead – Data & Analytics Platforms

Morgan Stanley

Software Engineering Lead for Data & Analytics Platforms at Morgan Stanley. Leading the architecture and delivery of scalable finance technology platforms with a high-performing team.

Posted 6/17/2026full-timeMontreal • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies

AngularCloudETLJavaPythonReactSDLCSQL

About the role

Key responsibilities & impact

Lead the architecture, design, and delivery of scalable software systems using Java and/or Python, Angular and/or React
Drive the design and integration of cloud-based data, reporting, and analytics solutions
Provide technical leadership and mentorship to a high-performing engineering team
Partner with business stakeholders and cross-functional teams to define strategy and requirements
Champion modern SDLC practices to ensure high-quality solutions
Drive automation, code quality, data quality, and engineering best practices
Ensure robust governance, security, and compliance throughout software and data lifecycle.

Requirements

What you’ll need

10+ years in software engineering, including substantial data-platform experience
Deep full-stack expertise (Java and/or Python, Angular and/or React)
Proven experience building and scaling enterprise applications in cloud environments
Strong hands-on data engineering capability: SQL, data modelling, ETL, and scalable pipelines
Proficiency across additional languages and frameworks, and the ability to learn new stacks quickly
Demonstrated experience leveraging GenAI, LLMs, or Copilot style tools for software development, automation, reporting, or analytics.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

JavaPythonAngularReactSQLdata modellingETLdata pipelinesGenAILLMs

Soft Skills

technical leadershipmentorshipcollaborationstrategy definitionrequirements gatheringautomationcode qualitydata qualityengineering best practicesgovernance