Software Engineering Lead – Data & Analytics Platforms (Hybrid)

Morgan Stanley•1h ago

CanadaHybridFull-timePrincipal Level10+ yrs exp

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Vp EngineeringVp DataData AnalystSoftware EngineerData Engineer

We’re seeking someone to join our team as a Software Engineering Lead – Data & Analytics Platforms in Finance Technology to drive the architecture and delivery of scalable finance technology platforms while leading a high-performing team and advancing cloud data, reporting
GenAI capabilities across the development lifecycle. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Software Engineering position at Vice President level
is part of the job family responsible for designing, develop ping, testing
maintaining software systems and applications that support business needs through modern engineering practices. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What you’ll do in the role:
Lead the architecture, design
delivery of scalable, enterprise-grade software systems using Java and/or Python, Angular and/or React
other modern technologies, ensuring best practices in code quality, performance
Drive the design and integration of cloud-based data, reporting, and analytics solutions (preferably Snowflake), including scalable data pipelines and ETL.
Champion the adoption of GenAI, LLMs, and Copilot-style AI tooling to enhance developer productivity, automation, reporting, and intelligent data distribution.
Provide technical leadership and mentorship to a high-performing engineering team, fostering a culture of technical excellence, innovation, collaboration, and continuous learning.
Partner with business stakeholders, product owners, and cross-functional teams to define strategy and requirements, evaluate tools, and deliver solutions aligned with organizational goals.
Champion modern SDLC practices — automated testing, CI/CD, and agile delivery — to ensure high-quality, scalable, and maintainable solutions.
Drive automation, code quality, data quality, and engineering best practices across all systems and pipelines.
Ensure robust governance, security, and compliance throughout the software and data lifecycle. What you’ll bring to the role:
10+ years in software engineering, including substantial data-platform experience, with a proven track record of delivering enterprise-level solutions.
Deep full-stack expertise (Java and/or Python, Angular and/or React, and related technologies) with a strong command of data structures, algorithms, design patterns, and modern SDLC.
Proven experience building and scaling enterprise applications in cloud environments.
Strong hands-on data engineering capability: SQL, data modelling, ETL, and scalable pipelines, ideally on a cloud data platform such as Snowflake.
Proficiency across additional languages and frameworks, and the ability to learn new stacks quickly.
Demonstrated experience leveraging GenAI, LLMs
Copilot style tools for software development, automation, reporting
analytics. At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work. All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office. Knowledge of French and English is required. Build a career with impact. Visit morganstanley.com for more information WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion
giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion
individuals are hired, developed
advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives
experiences. For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .

Required skills

JavaPythonAngularReactSQLETLdata modellingSnowflakeGenAILLMs