Snowflake Developer - Director - Software Engineering
Morgan Stanley
Snowflake Developer - Director - Software Engineering
We're seeking someone to join our Institutional Securities Technology team as Snowflake Developer, in PWM Asia & Australia tech. The candidate is expected to deliver hands on contributions & strong technologist with passion for high quality engineering and problem solving.
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 Director position that manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization.
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.
What You'll Do In The Role:
ETL and Data Warehousing: Develop, and maintain robust, scalable ETL pipelines and data warehouse solutions using Snowflake, ETL(Talend Enterprise/ Informatica PowerCenter), and Python.
Cloud Data Engineering: Design and implement cloud-native data solutions, ensuring performance, cost-efficiency, and scalability.
Performance Optimization: Continuously monitor and optimize ETL processes and data pipelines for maximum efficiency and reliability.
Agile & DevOps Implementation: Drive the adoption of Agile methodologies and DevOps best practices to enhance team efficiency and accelerate delivery cycles.
Automation & Innovation: Identify opportunities for automation throughout the data lifecycle and implement innovative solutions to streamline operations.
Stakeholder Collaboration: Work closely with business, analytics, and IT stakeholders to understand data requirements and deliver solutions that drive business value.
What You'll Bring To The Role:
5+ years of experience in data engineering, data warehousing, and ETL development.
Advanced proficiency in Snowflake, ETL(Talend Enterprise/ Informatica PowerCenter), and Python.
Strong background in designing and implementing scalable, high-performance data pipelines.
Demonstrated experience in delivering complex projects.
Solid grasp of Agile and DevOps principles with practical experience implementing these in data engineering environments.
Excellent communication and collaboration skills.
Strong sense of ownership, accountability, and proven problem-solving abilities.
Experience driving team transformation and process improvement through automation and cloud adoption.
Ability to foster a culture of innovation, continuous learning, and excellence.
Prior experience working in fast-paced, data-driven organizations.
What You Can Expect From Morgan Stanley:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and 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.